{"metadata":{"kernelspec":{"name":"ir","display_name":"R","language":"R"},"language_info":{"name":"R","codemirror_mode":"r","pygments_lexer":"r","mimetype":"text/x-r-source","file_extension":".r","version":"4.0.5"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"

What we do here:

\n
\n \n
","metadata":{}},{"cell_type":"markdown","source":"
\n\n

Data

\n\n
\n From the Open Problems – Single-Cell Perturbations competition: de_train.parquet file for drug names
From the DrugBank - qs files with data exported and stored in this dataset. \n
\n\n

Output

\n \n
\n CSV files with general information, classification, pharmacology and calculated properties of the compounds found in DrugBank, also stored in this dataset\n
\n\n
","metadata":{}},{"cell_type":"code","source":"library(data.table)\nlibrary(arrow)\nlibrary(dplyr)\nlibrary(tidyr)\nlibrary(stringdist)\nlibrary(qs)\ninstall.packages(\"rcdk\")\nlibrary(rcdk)\nlibrary(ggplot2)\nlibrary(visNetwork)\n\nfig <- function(width, heigth){\n options(repr.plot.width = width, repr.plot.height = heigth)\n}","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:30:49.221967Z","iopub.execute_input":"2023-10-02T09:30:49.224154Z","iopub.status.idle":"2023-10-02T09:31:29.285414Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Load competition data**","metadata":{}},{"cell_type":"code","source":"de_train <- read_parquet(\"/kaggle/input/open-problems-single-cell-perturbations/de_train.parquet\")\nde_train <- setDT(de_train)\n\nop_drugs <- unique(de_train[, .(sm_name, SMILES)])\nhead(op_drugs)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:29.288412Z","iopub.execute_input":"2023-10-02T09:31:29.309374Z","iopub.status.idle":"2023-10-02T09:31:30.627491Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Export and parse Drug Bank data**","metadata":{}},{"cell_type":"markdown","source":"The data loaded from the [drug bank](https://go.drugbank.com/releases/latest#full) were parsed with the commented code below (takes ~1h). Here I use these saved (in the [dataset](https://www.kaggle.com/datasets/antoninadolgorukova/op2-supplementary-calcs-for-ml/data)) objects to save time.","metadata":{}},{"cell_type":"code","source":"# library(dbparser)\n\n# dvobj <- parseDrugBank(db_path = \"drugs/full database.xml\",\n# drug_options = drug_node_options(),\n# parse_salts = TRUE,\n# parse_products = TRUE,\n# references_options = references_node_options(),\n# cett_options = cett_nodes_options())\n\n# salts <- dvobj$salts\n# qsave(salts, \"drugs/drug_bank/salts.qs\")\n\n# products <- dvobj$products\n# qsave(products, \"drugs/drug_bank/products.qs\")\n\n# references <- dvobj$references\n# qsave(references, \"drugs/drug_bank/references.qs\")\n\n# cett <- dvobj$cett\n# qsave(cett, \"drugs/drug_bank/cett.qs\")\n\n# drugs <- dvobj$drugs\n# qsave(drugs, \"drugs/drug_bank/drugs.qs\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:30.629269Z","iopub.execute_input":"2023-10-02T09:31:30.630213Z","iopub.status.idle":"2023-10-02T09:31:30.638050Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Drugs vocabulary","metadata":{}},{"cell_type":"markdown","source":"First of all, we have to match our drugs with those in the exported data. This task can be challenging since we only have names and SMILES (please correct me if I'm wrong). The names can be spelled differently when compared with DrugBank names. As for SMILES, it appears there are many different variations (canonical, non-canonical, isomeric, with aromatic atoms represented differenty, etc.), and for someone who is not a specialist, it can be quite challenging to determine which SMILES are provided. In my non-specialist opinion, the SMILES in 'de_train' are canonical, whereas in DrugBank, only isomeric SMILES are given.\n\nSo, it's probably not the optimal way, but my best guess was to match them using distance metrics between strings (and then manually determine the threshold) and then by chemical formula, followed by manual checks.","metadata":{}},{"cell_type":"code","source":"drugs <- qread(\"/kaggle/input/op2-supplementary-calcs-for-ml/drug_bank/source/drugs.qs\")\nvocab <- fread(\"/kaggle/input/op2-supplementary-calcs-for-ml/drug_bank/source/drugbank vocabulary.csv\")\n\ncat(\"DrugBank Vocabulary (identifiers, names, and synonyms to permit easy linking and integration into any type of project)\")\nhead(vocab)\ncat(\"\\nShape: \", ncol(vocab), \" columns x \",\n nrow(vocab), \" rows\", sep = \"\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:30.639816Z","iopub.execute_input":"2023-10-02T09:31:30.640718Z","iopub.status.idle":"2023-10-02T09:31:38.207939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Check SMILES**","metadata":{}},{"cell_type":"code","source":"db_smiles <- left_join(\n select(drugs$general_information, c(\"primary_key\", \"name\")) %>%\n rename(sm_name = name),\n drugs$calculated_properties %>%\n filter(kind == \"SMILES\") %>%\n select(value, parent_key) %>%\n rename(Drug_bank_SMILES = value),\n by = c(\"primary_key\" = \"parent_key\") ) %>%\n as.data.table\n\nhead(db_smiles[op_drugs, on = \"sm_name\"])","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:38.210728Z","iopub.execute_input":"2023-10-02T09:31:38.211714Z","iopub.status.idle":"2023-10-02T09:31:38.309872Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Unfortunately, these are different kinds of SMILES.","metadata":{}},{"cell_type":"markdown","source":"**Find the most similar Drug Bank names to that in the de_train**","metadata":{}},{"cell_type":"code","source":"# Calculate min distances\nop_drugs[, min_dist := sapply(sm_name, function(x) {\n \n distances <- stringdist(tolower(x), tolower(vocab$`Common name`))\n min(distances)\n } )\n ]\n\n# Get the closest name\nop_drugs[, DrugBank_name := sapply(sm_name, function(x) {\n \n # the threshold is set based on manual check)\n if (op_drugs[sm_name == x]$min_dist < 2) { \n \n distances <- stringdist(tolower(x), tolower(vocab$`Common name`))\n vocab$`Common name`[which.min(distances)]\n \n } else {NA}\n } )\n ]\n\nhead(op_drugs[!is.na(DrugBank_name)][order(-min_dist)], 10)\ncat(\"Not found drugs:\", op_drugs[is.na(DrugBank_name), .N])","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:38.311670Z","iopub.execute_input":"2023-10-02T09:31:38.312789Z","iopub.status.idle":"2023-10-02T09:31:43.107421Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Match coumpound names using synonyms**","metadata":{}},{"cell_type":"code","source":"check <- op_drugs[min_dist > 1]$sm_name\nvocab[grepl(paste0(check, collapse = \"|\"), vocab$Synonyms), ]\n# only one found\n\nop_drugs[sm_name == \"PD-0325901\", DrugBank_name := \"Mirdametinib\"]\n\ncat(\"Not found drugs:\", op_drugs[is.na(DrugBank_name), .N])","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:43.109208Z","iopub.execute_input":"2023-10-02T09:31:43.110141Z","iopub.status.idle":"2023-10-02T09:31:43.342607Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Match coumpounds by chemical formula**","metadata":{}},{"cell_type":"code","source":"# Get the formula of competition drugs\nop_drugs[, formula := sapply(SMILES, function(x) {\n \n mol <- parse.smiles(x)\n f <- get.mol2formula(mol[[1]])\n f@string })\n]\n\n# Get the formula of Drug Bank drugs\ndb_form <- drugs$calculated_properties %>%\n filter(kind == \"Molecular Formula\") %>%\n select(value, parent_key) %>%\n rename(formula = value) %>%\n as.data.table\n\n# Subset not yet found drugs and merge with formula data\nvocab <- left_join(vocab, db_form, by = c(\"DrugBank ID\" = \"parent_key\"))\nvocab <- vocab[, .(`DrugBank ID`, DrugBank_name = `Common name`, CAS, formula)]\n\nvocab <- vocab[op_drugs[is.na(DrugBank_name),\n .(sm_name,\n formula, SMILES)],\n on = \"formula\"]\ncat(\"Drug Bank vocabulary merged with competotion drugs by formula\")\nhead(vocab)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:43.344408Z","iopub.execute_input":"2023-10-02T09:31:43.345325Z","iopub.status.idle":"2023-10-02T09:31:49.913013Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Manual check**","metadata":{}},{"cell_type":"code","source":"# Pick one if several compounds have the same formula (searched manually in pubchem)\ndupl_formula <- vocab[, .N, by = formula][N > 1]\ncat(\"Several compounds have the same formula:\")\nvocab[formula %in% dupl_formula$formula]\n\nop_drugs[sm_name == \"5-(9-Isopropyl-8-methyl-2-morpholino-9H-purin-6-yl)pyrimidin-2-amine\",\n DrugBank_name := \"VS-5584\"]\nop_drugs[sm_name == \"RG7090\",\n DrugBank_name := \"Basimglurant\"]\nop_drugs[sm_name == \"RVX-208\",\n DrugBank_name := \"Apabetalone\"]\nop_drugs[sm_name == \"Ganetespib (STA-9090)\",\n DrugBank_name := \"Ganetespib\"]\n\n# manuall check\n# one wrong match https://pubchem.ncbi.nlm.nih.gov/compound/46173038#section=Synonyms\nvocab[sm_name == \"K-02288\"]$DrugBank_name <- NA\nvocab[sm_name == \"K-02288\"]$`DrugBank ID` <- NA\nvocab[sm_name == \"K-02288\"]$CAS <- NA\n\n# note Pitavastatin Calcium - is a wrong name in the de_train, should be Pitavastatin: \n# https://pubchem.ncbi.nlm.nih.gov/compound/5282452\n# https://pubchem.ncbi.nlm.nih.gov/compound/5282451","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:49.914793Z","iopub.execute_input":"2023-10-02T09:31:49.915715Z","iopub.status.idle":"2023-10-02T09:31:49.963323Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"not_found <- vocab[is.na(DrugBank_name)]\nvocab <- vocab[!is.na(DrugBank_name), .(DrugBank_name, sm_name)]\n\nadd_names <- op_drugs[is.na(DrugBank_name), !\"DrugBank_name\"]\nop_drugs_map <- rbind(op_drugs[!is.na(DrugBank_name)],\n add_names[vocab, on = c(\"sm_name\"), nomatch = 0])\nop_drugs_map <- op_drugs_map[, .(sm_name, DrugBank_name)]\n\ncat(\"The resulting mapping of the competition's compound names and Drug Bank names\",\n \"\\n(As an example I show rows with the same compounds but different names)\")\nhead(op_drugs_map[sm_name != DrugBank_name])\ncat(\"\\nShape: \", ncol(op_drugs_map), \" columns x \",\n nrow(op_drugs_map), \" rows\", sep = \"\")\ncat(\"\\n\\nNot found (\", nrow(not_found), \"compounds):\")\nnot_found$sm_name","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:49.965662Z","iopub.execute_input":"2023-10-02T09:31:49.966536Z","iopub.status.idle":"2023-10-02T09:31:50.002140Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# EDA for the drugs found in Drug Bank","metadata":{}},{"cell_type":"markdown","source":"# - General information","metadata":{}},{"cell_type":"markdown","source":"The General_information dataset contains the following info:","metadata":{}},{"cell_type":"code","source":"names(drugs$general_information)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.003941Z","iopub.execute_input":"2023-10-02T09:31:50.004791Z","iopub.status.idle":"2023-10-02T09:31:50.015387Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Select relevant columns for further analysis\ndrugs_data <- op_drugs_map %>%\n left_join(rename(drugs$general_information, drugbank_id = primary_key),\n by = c(\"DrugBank_name\" = \"name\") ) %>%\n select(sm_name, DrugBank_name, drugbank_id, cas_number,\n type, description,\n average_mass, monoisotopic_mass, state)\n\ncat(\"General information data for the competition's drugs\")\nhead(drugs_data, 3)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.017106Z","iopub.execute_input":"2023-10-02T09:31:50.018009Z","iopub.status.idle":"2023-10-02T09:31:50.058551Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cat(\"The counts of drugs by their type (can be one of Small molecule or Biotech )\\n\")\ndrugs_data[, .N, by = \"type\"]\n\ncat(\"The counts of drugs by their state\\n\")\ndrugs_data[, .N, by = \"state\"]","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.060193Z","iopub.execute_input":"2023-10-02T09:31:50.061099Z","iopub.status.idle":"2023-10-02T09:31:50.090633Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fwrite(drugs_data, \"DrugBank_general.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.092390Z","iopub.execute_input":"2023-10-02T09:31:50.093295Z","iopub.status.idle":"2023-10-02T09:31:50.102292Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# - Drug groups","metadata":{}},{"cell_type":"markdown","source":"Can be one or more of: Approved, Vet approved, Nutraceutical, Illicit, Withdrawn, Investigational, and Experimental.","metadata":{}},{"cell_type":"code","source":"fig(20, 5)\ngroups <- left_join(drugs_data[, .(sm_name, drugbank_id)],\n drugs$groups,\n by = c(\"drugbank_id\" = \"drugbank-id\" ) )\ngroups %>% \n ggplot(aes(x = group, fill = \"coral\")) + \n geom_bar() + \n labs(x = 'Drug Group',\n y = 'Quantity',\n title = \"Drug Group Distribution\") +\n coord_flip() +\n theme_bw(base_size = 20) +\n theme(legend.position = 'none')","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.103939Z","iopub.execute_input":"2023-10-02T09:31:50.104781Z","iopub.status.idle":"2023-10-02T09:31:50.682314Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# - Drug classification","metadata":{}},{"cell_type":"code","source":"drugs_class <- left_join(drugs_data[, .(sm_name, drugbank_id)], \n rename(drugs$drug_classification, \n description_class = description),\n by = 'drugbank_id')\ncat(\"Drug classification data\")\nhead(drugs_class, 3)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.684045Z","iopub.execute_input":"2023-10-02T09:31:50.684964Z","iopub.status.idle":"2023-10-02T09:31:50.716318Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cat(\"The distribution of drugs by kingdom\\n\")\ndrugs_class[, .N, by = \"kingdom\"][order(-N)]\ncat(\"\\nThe distribution of drugs by superclass\\n\")\ndrugs_class[, .N, by = \"superclass\"][order(-N)]\ncat(\"\\nThe distribution of drugs by class\\n\")\ndrugs_class[, .N, by = \"class\"][order(-N)]","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.717961Z","iopub.execute_input":"2023-10-02T09:31:50.718906Z","iopub.status.idle":"2023-10-02T09:31:50.771316Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Graph representation** ","metadata":{}},{"cell_type":"code","source":"graph <- drugs_class[!is.na(kingdom),\n .(kingdom, superclass, class,\n subclass, sm_name)]\n\nunique_nodes <- unique(na.omit(c(\n graph$kingdom, graph$superclass, graph$class, graph$subclass\n )))\nunique_nodes <- unique_nodes[unique_nodes != \"\"]\n\n# Create a data frame of nodes\nnodes <- data.frame(id = unique_nodes, label = unique_nodes)\nnodes$group <- ifelse(nodes$id %in% graph$kingdom, \"kingdom\",\n ifelse(nodes$id %in% graph$superclass, \"superclass\",\n ifelse(nodes$id %in% graph$class, \"class\", \"subclass\"\n )))\nnodes$value <- as.numeric(factor(\n nodes$group,\n levels = c(\"subclass\", \"class\", \"superclass\", \"kingdom\")\n ) )\n\n# Create a data frame of edges\nedges <- data.frame(\n from = c(graph$kingdom, graph$superclass, graph$class),\n to = c(graph$superclass, graph$class, graph$subclass)\n) %>% mutate(to = ifelse(to == \"\", NA, to)) %>%\n unique\n\n# Plot graph\nvisNetwork(nodes, edges, main = \"The graph of compounds classification (Zoom in)\", width = \"100%\") %>%\n visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) %>%\n visLegend()","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:50.773418Z","iopub.execute_input":"2023-10-02T09:31:50.774316Z","iopub.status.idle":"2023-10-02T09:31:51.102205Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fwrite(drugs_class, \"DrugBank_classification.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.103848Z","iopub.execute_input":"2023-10-02T09:31:51.104727Z","iopub.status.idle":"2023-10-02T09:31:51.113650Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# - Pharmacology","metadata":{}},{"cell_type":"markdown","source":"The Pharmacology data are all text fields, so I show the data for 1 drug as example.","metadata":{}},{"cell_type":"code","source":"drugs_pharm <- left_join(drugs_data[, .(sm_name, drugbank_id)], \n drugs$pharmacology,\n by = 'drugbank_id')\n\ncat(\"Pharmacology of Midostaurin:\\n\\n\")\nunlist(drugs_pharm[sm_name == \"Midostaurin\",\n c(names(drugs$pharmacology)),\n with = FALSE])","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.115289Z","iopub.execute_input":"2023-10-02T09:31:51.116186Z","iopub.status.idle":"2023-10-02T09:31:51.139377Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fwrite(drugs_pharm, \"DrugBank_pharmacology.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.141424Z","iopub.execute_input":"2023-10-02T09:31:51.142314Z","iopub.status.idle":"2023-10-02T09:31:51.152188Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# -ATC Classification","metadata":{}},{"cell_type":"markdown","source":"In the ATC classification system, the active substances are classified in a hierarchy with five different levels. The system has fourteen main anatomical/pharmacological groups or 1st levels. Each ATC main group is divided into 2nd levels which could be either pharmacological or therapeutic groups. The 3rd and 4th levels are chemical, pharmacological or therapeutic subgroups and the 5th level is the chemical substance. The 2nd, 3rd and 4th levels are often used to identify pharmacological subgroups when that is considered more appropriate than therapeutic or chemical subgroups ([link for more info](https://dev.drugbank.com/guides/terms/atc-codes))","metadata":{}},{"cell_type":"code","source":"atc <- left_join(drugs_data[, .(sm_name, drugbank_id)],\n drugs$atc_codes,\n by = c(\"drugbank_id\" = \"drugbank-id\" ) ) %>%\n select(sm_name, `drugbank_id`, level_1, level_2, level_3, level_4) %>%\n unique\nhead(atc)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.153814Z","iopub.execute_input":"2023-10-02T09:31:51.154641Z","iopub.status.idle":"2023-10-02T09:31:51.181388Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cat(\"Drug counts at top 10 1st level pharmacological groups\" )\natc[, .N, by = \"level_1\"][order(-N)][1:10]\ncat(\"Drug counts at top 10 2nd level pharmacological groups\" )\natc[, .N, by = \"level_2\"][order(-N)][1:10]\ncat(\"Drug counts at top 10 3rd level pharmacological groups\" )\natc[, .N, by = \"level_3\"][order(-N)][1:10]\ncat(\"Drug counts at top 10 4th level pharmacological groups\" )\natc[, .N, by = \"level_4\"][order(-N)][1:10]","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.183060Z","iopub.execute_input":"2023-10-02T09:31:51.183962Z","iopub.status.idle":"2023-10-02T09:31:51.246907Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Graph representation**","metadata":{}},{"cell_type":"code","source":"graph <- atc[!is.na(level_1)]\nunique_nodes <- unique(na.omit(c(\n graph$sm_name, graph$level_4, graph$level_3, graph$level_2, graph$level_1\n)))\n\n# Create a data frame of nodes\nnodes <- data.frame(id = unique_nodes, label = unique_nodes)\nnodes$group <- ifelse(nodes$id %in% graph$level_1, \"level_1\",\n ifelse(nodes$id %in% graph$level_2, \"level_2\",\n ifelse(nodes$id %in% graph$level_3, \"level_3\",\n ifelse(nodes$id %in% graph$level_4, \"level_4\", \"sm_name\"\n ) ) ) )\nnodes$value <- as.numeric(factor(\n nodes$group,\n levels = c(\"sm_name\", \"level_1\", \"level_2\", \"level_3\", \"level_4\")\n ) )\n\n# Create a data frame of edges\nedges <- data.frame(\n from = c(graph$sm_name, graph$level_1, graph$level_2, graph$level_3),\n to = c(graph$level_1, graph$level_2, graph$level_3, graph$level_4)\n) %>% unique\n\n# Plot graph\nvisNetwork(nodes, edges,\n main = \"Graph representation of ATC Classification of the competition compounds (Zoom in)\", width = \"100%\") %>%\n visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) %>%\n visLegend()","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.249468Z","iopub.execute_input":"2023-10-02T09:31:51.250381Z","iopub.status.idle":"2023-10-02T09:31:51.501430Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fwrite(atc, \"DrugBank_atc_classification.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.503830Z","iopub.execute_input":"2023-10-02T09:31:51.504839Z","iopub.status.idle":"2023-10-02T09:31:51.513794Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# - Calculated properties","metadata":{}},{"cell_type":"markdown","source":"The following calculated properties are provided (copied from [here](https://docs.drugbank.com/xml/#calculated-properties)):","metadata":{}},{"cell_type":"markdown","source":"| Property | Type | Description |\n|---------------------------------|----------|-------------------------------------------------------------------------------------------------------------|\n| logP | string | The predicted partition coefficient (LogP) based on the ratio of solubility of the molecule in 1-octanol compared to water; predicted by ALOGPS. |\n| logS | string | The predicted solubility (LogS) of the molecule; predicted by ALOGPS. |\n| IUPAC Name | string | The predicted International Union of Pure and Applied Chemistry (IUPAC) nomenclature for the structure; predicted by ChemAxon. |\n| Traditional IUPAC Name | string | The non-systematic (or common) name for the molecule, which is not recognized by any formal nomenclature system; imported from ChemAxon. |\n| Molecular Weight | string | The predicted ratio of the average mass of one molecule of an element or compound to one twelfth of the mass of an atom of carbon-12; calculated by ChemAxon. |\n| Monoisotopic Weight | string | The predicted mass of the most abundant isotope of the drug; calculated by ChemAxon. |\n| SMILES | string | The simplified molecular-input line-entry system (SMILES) is a line notation used for describing the structure of chemical species using short ASCII strings; calculated by ChemAxon. |\n| InChI | string | A prediction of the IUPAC International Chemical Identifier (InChI); imported by ChemAxon. |\n| InChIKey | string | The condensed digital representation of the IUPAC International Chemical Identifier (InChI); imported by ChemAxon. |\n| Polar Surface Area (PSA) | string | A descriptor, based on the polarized atoms of the molecule, that allows estimation of transport properties and of the passive molecular transport through membranes of the drug; predicted by ChemAxon. |\n| Refractivity | string | The predicted molar refractivity of the molecule, which is strongly related to the volume of the molecules and to London dispersive forces that play a crucial part in drug-receptor interactions; predicted by ChemAxon. |\n| Polarizability | string | The predicted relative tendency of the electron cloud (charge distribution) of the molecule to be distorted by an external electric field; polarizability values predicted by ChemAxon. |\n| Rotatable Bond Count | string | The predicted number of rotatable bonds in the molecule; predicted by ChemAxon. Unsaturated bonds, and single bonds connected to hydrogens or terminal atoms, single bonds of amides, sulphonamides, and those connecting two hindered aromatic rings (having at least three ortho substituents) are considered non-rotatable. |\n| H Bond Acceptor Count | string | A calculation of the sum of the hydrogen bond acceptor atoms. An acceptor atom always has a lone electron pair/lone electron pairs that is capable of establishing a hydrogen bond. Predicted by ChemAxon. |\n| H Bond Donor Count | string | A calculation of the sum of the atoms in the molecule which have hydrogen bond donor property. Predicted by ChemAxon. |\n| pKa (strongest acidic) | string | The strongest acidic pKa value of the molecule; predicted by ChemAxon. |\n| pKa (strongest basic) | string | The strongest basic pKa value of the molecule; predicted by ChemAxon. |\n| Physiological Charge | string | Charge of the molecule at physiological pH; predicted by ChemAxon. |\n| Number of Rings | string | A calculation of the number of rings in the molecule; predicted by ChemAxon. |\n| Bioavailability | string | Fraction of administered dose that is predicted to reach the systemic circulation; predicted by ChemAxon. |\n| Rule of Five | string | A reflection of the absorption or permeation of a molecule; considered β€œyes” when the molecular weight is under 500 g/mol, the value of logP is lower than 5, and the molecule has utmost 5 H-donor and 10 H-acceptor atoms; predicted by ChemAxon. |\n| Ghose Filter | string | A filter that defines drug-likeness constraints as follows: calculated log P is between -0.4 and 5.6, molecular weight is between 160 and 480, molar refractivity is between 40 and 130, and the total number of atoms is between 20 and 70. Imported from ChemAxon. |\n| MDDR-Like Rule | string | Indicates compliance of drug-like characteristics based on the number of rings, rigid bonds, and rotatable bonds; calculated by ChemAxon. |\n","metadata":{}},{"cell_type":"code","source":"cal_prop <- left_join(drugs_data[, .(sm_name, drugbank_id)],\n drugs$calculated_properties,\n by = c(\"drugbank_id\" = \"parent_key\" ) )\n\n# There are two sources of data:\n# unique(cal_prop$source)\n# cal_prop[source == \"ALOGPS\", unique(kind)]\n# cal_prop[source == \"ChemAxon\", unique(kind)]\n\n# There are 24-26 observations per drug\n# cal_prop[, .N, by = \"sm_name\"][, range(N)]\n\n# As logP sometimes provided from two sources, we calculate mean logP\nlogp <- cal_prop[kind == \"logP\", !\"source\"]\nlogp[, value := mean(as.numeric(value)),\n by = \"sm_name\"]\ncal_prop <- rbind(unique(logp),\n cal_prop[kind != \"logP\", !\"source\"]\n )\n# Correct water solubility data as numeric\ncal_prop[kind == \"Water Solubility\", value := gsub(\" g/l.*\", \"\", value)]\n\n#cal_prop[sm_name == \"HYDROXYUREA\"]","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.515629Z","iopub.execute_input":"2023-10-02T09:31:51.516560Z","iopub.status.idle":"2023-10-02T09:31:51.550503Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Plot numeric properties**","metadata":{}},{"cell_type":"code","source":"fig(20, 20)\nnon_num_cols = c(\"IUPAC Name\", \"Traditional IUPAC Name\", \"SMILES\",\n \"Molecular Formula\", \"InChI\", \"InChIKey\", \"Bioavailability\",\n \"Rule of Five\", \"Ghose Filter\", \"MDDR-Like Rule\")\ncal_prop %>% \n filter(!kind %in% non_num_cols) %>%\n mutate(value = as.numeric(value)) %>%\n ggplot(aes(value)) +\n geom_histogram(fill = \"coral\") +\n facet_wrap(~kind, scales = \"free\") +\n theme_bw(base_size = 22)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:51.552429Z","iopub.execute_input":"2023-10-02T09:31:51.553364Z","iopub.status.idle":"2023-10-02T09:31:53.751730Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Plot binary properties**","metadata":{}},{"cell_type":"code","source":"fig(10, 10)\ncal_prop %>% \n filter(kind %in% c(\"Bioavailability\", \"Rule of Five\",\n \"Ghose Filter\", \"MDDR-Like Rule\")) %>%\n ggplot(aes(value)) +\n geom_bar(fill = \"coral\") +\n facet_wrap(~kind, scales = \"free\") +\n theme_bw(base_size = 22)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:53.753489Z","iopub.execute_input":"2023-10-02T09:31:53.754499Z","iopub.status.idle":"2023-10-02T09:31:54.343582Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**All properties in wide format**","metadata":{}},{"cell_type":"code","source":"cal_prop <- pivot_wider(cal_prop,\n names_from = \"kind\",\n values_from = \"value\",\n values_fill = NA) %>%\nas.data.table\n\nhead(cal_prop)","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:54.345260Z","iopub.execute_input":"2023-10-02T09:31:54.346171Z","iopub.status.idle":"2023-10-02T09:31:54.524961Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fwrite(cal_prop, \"DrugBank_cal_properties.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:54.526545Z","iopub.execute_input":"2023-10-02T09:31:54.527418Z","iopub.status.idle":"2023-10-02T09:31:54.535998Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# - Pathways","metadata":{}},{"cell_type":"markdown","source":"This dataset contains metabolic, disease, and biological pathways that the drug is involved in, as identified by the Small Molecule Pathway Database (SMPDB). Unfortunately, there are such info for only a small proportion of the competition's drugs.","metadata":{}},{"cell_type":"code","source":"pathways <- left_join(drugs_data[, .(sm_name, drugbank_id)],\n drugs$pathway$general_information,\n by = c(\"drugbank_id\" = \"parent_key\" ) )\n\npathways[!is.na(smpdb_id)]","metadata":{"execution":{"iopub.status.busy":"2023-10-02T09:31:54.537651Z","iopub.execute_input":"2023-10-02T09:31:54.538676Z","iopub.status.idle":"2023-10-02T09:31:54.570758Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The available pathways can be vizialized for example, using [smpdb 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Fa4bVmvFZ4rRmvFV5rxmuF15rxWuG1ZrxWeK0ZrxVea8Zrhdea8VrhtWa8VnitGa8VXmvGa4XXmvFa4bVmvFZ4rRmvFV5rxmuF15rxWuG1ZrxWeK0ZrxVea8Zrhdea8VrhtWa8VnitGa8VXmvGa4XXmvFa4bVmvFZ4rRmvFV5rxmuF15rxWuG1ZrxWeK0ZrxVea8Zrhdea8VrhtWa8VnitGa8VXmvGa4XXmvFa4bVmvFZ4rRmvFV5rxmuF15rxWuG1ZrxWeK0ZrxVea8Zrhdea8VrhtWa8VnitGa8VXmvGa4XXmvFa4bVmvFZ4rRmvFV5rxmuF15rxWuG1ZrxWeK0ZrxVea8Zrhdea8Vrh9aZVpSgThxtbBfMa88Ht7wRY0Jzx+ThK5XJE6TSVp6Y0aSCfwJXJENaJnHCY0DhWMqcXyqiNH8jtvaoQs0wlfk5ZNmt3ad6JZQ7icbzxeIllmjIVJyd1LrlQZj6nnukJIi0Bv8yWyVDmyqsofeGFVNz5HBV/8H0qF/nZczKjgvcjO3Jk963S9mKo4vdj4/mQmhinzFM/oI0b2unP3n+hyegcOkxjbQyvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtcJrzXit8FozXiu81ozXCq8147XCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtcJrzXit8FozXiu81ozXCq8147XCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtcJrzXit8FozXiu81ozXCq8147XCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtcJrzXit8FozXiu81ozXCq8147XCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtcJrzXit8FozXiu81ozXCq8147XCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtcJrzXit8FozXiu81ozXCq8147XCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNcKrzXjtaJMswNjdPAzWFVWT/C/8Sv88dYj7rXCa814rfBaM14rvNaM1wqvNeO1wmvNeK3wWjNeK7zWjNdJVPe91ozXCq8147XCa814rdA49owy3kKdbKfbj6PSX+r8zeLz88mA+oDvr8urycLjO1+DXz3vGvzqedfgV8+7Br963jX41fOuwa+edw1+9bxr8Kvnk022lGsmw8yOjTnwvjYu0NjXeXY1PhZp5tQgyNt9V8wneZdzNT4WKdOlKN3VxTNTeXJCx9mNX76xtjnnSSiVHMgmEdcJmy6vt1JMZ7PiRvvWzupEK+SDFWUhdF5FGM+HFJXHx6jc1aPKzM2ryXRFmbZId3RQ+ZoXU7l3NRUfe4TK+/bILowjm4zXSTSKyGyS01RgqJL9aHwipMZHqWXvC/RDt6yln/2pszgjm05UvcGvnncNfvW8a/Cr512DXz3vGvzqedfgV8+7Br963jX41fOuNbLPq8qm9gyZGKgH+N/49ZzAH+OlfD/cmtP3WJ75fTuRn3hGWWNzHJX+mcCtq3O0+kbcdrFeOPCph2nihQETxY8zGAwGg8FgMDjepK+ydEhXOrmawNeUo6iXWtNE2fk0ljDww/k4FyPphcP5bE7z3DHKlOrsovLcnKyecjmp5JeMd2yyhqRjZnBOC5QlJUWWS0T83LEWe8cHO1ZrdYzELsdpvv2irCgzmaBFzyArxZ9HVtW3zzYrDA1TsbvX7ponV/DpXoTuHqJrX0wtqRKVHryPykNDppbr9T3xZl86h2kxnwP2nC8565su8i07JDUd2Eep4WP0W+88h87a2CZzy1xgMBgMBoPB4Ibn4tQsHcCqsrqhfUMPrb6RV5XFj/OZxx7V/VPDiWeUNTbHUemfCcxXmjM5va0LsDTMHBqhg/JsstqPPxgMBoPBYPCZxm5lkmR46ZA0jcPGedlcieS51OVtjWvBfEqBF2tSGMUu73OBZ/cjsXaaa28nmp21OZ1PIFJzUT1brjFcIjJ8L2O58QqxbIvU6P5t483GXKaxORXLc/2JbqXORTbk+AQoHDlK6fY2Knd26X4MZD+8kox/Q/Xc8yl1zfVEg0cp/8D9chz4TXClrZbNCp3D+ZKzvoXuw2S0zMbqO3aoptPPPkWFqRn67V/hZzKw7+YHg8FgMBgMBjc6H/qXR2nsyYMmBuoBvXNc5XE+s9ijun9qOG0iuWLmWa+ged04fhLV67ivll8Zvr93KbBU7P/UwzR3fDJ2fE92/OHDhw/fa/jw4XuGv1L9AyN84pCEeoowTqI+dT4TeMmVSowoFXoayy1NCnmJY3ClzDynNE15DhMax0tMLyvE+JfZnHMScH2LW1FmRglLEMWyRZ5YMd8I4fyxYzQ3NkHlrcF5QiZD5c1nU+GaG6iwdgPlH3+MCjt28BCZV+YxZdw0I4Yqntv5krO+hd934GtQG4pFyu19ln74trV0/Yv4lpF+/uoMHz58r+HDh+8ZPnz4Xp9a/+BnH5EYWDpW33COOVlJxY7vyY7/SvQd5vPjvDy+XCjTK2eO9Qqa143jJ1G9jvtq+eb3W3v5tot4Plk9MLbjkKwmY8SPM/fVjz98+PDhw4fvNXz4Z47Pq4AqmuS5QFmarXUJX8/S5TSu3hLzcWznjDUpc1rHcIvVSM7VmZqWFioXCrGxAkm4Zjpp1hDm0NRrIJtE1lM22aKZO9tiNM8tKa1m5pzE2iRZyMszzeLggbXA1pV9fX7Hk1RevZaK195ApauupeKNL6f85m1UPnKYivd9m8oDAzrMNH4v/B6slF5zIqL36N5q5FuIz5nQ16BmpEaP09zQCH3gt89jFc1fneHDh+81fPjwPcOHD9/rU+sf/Y8dNPzALtHA0tCxuU8esxQ/ztzPf/xXou8wnx/n5fGDZ5S5K2iNq5NI+itd977obGrpbpcYWBr42WTJ4wsNDQ0NDQ0NDR3XB47rbzc6zZ4LhVxawML6doVR3Fav6nyWHCSWOWzWxIGyMEoS3pEqLwUcyoqyvFtRpgVuel1BxbEIjcVg5tC9X8eSUm2Z8rxCzOzDhFrBsNVSZJsO0PfS2iqS9x81+9yxijjKab3AnNOl0ynKZNJUHjpGM9/5DhWOHqXC6CjNPfoI5b/xNco/+7TsS8bwMCE7l0hOSMb7rKWJZausz6qar4EriWDTEULZfnAXnX9uF911Zz/PIDll7qGhoaGhoaGhoRtZH8Cqsrph1bVbK47vmaU9qvunRgfPKHNX0BpXJ5H0V7ruvnCjMLA0DH17Jw185amK4wsNDQ0NDQ0NDV2pD41kNCOWsjTJOaGxNpYup3H1lpiPY7NpLmhS5rSO4SZblOecq3MlXKFMvHqrWBTDb2zySzrxtLHB2rGYQfN9pGRFWaudwuTtXLGYN9FmCK8oa+MLZeaUTJpMFI3hC2DpdJrSmbRcCOPW0pKhlmzGfBRtHHOOPa4rj49T/qmnKf/EE1SyK8h4n/wKW1zahGNH8n41jhkc2fcoWclZP+o91PcIZWpslGYHhunXfn4rpW2h26syNDQ0NDQ0NDR0o+rh7zxPA19/WnLA0tB90caK43tmaY/q/qnR9hllCr2CVo0Vp9tPYqHjm93vurDfRsBSwM8mYyz0+MOHX50V8OFXZwV8+NVZAR9+dVY0ij8/TuSHXmVd9ZHx7Pyq+uh5Ic8oK1gRwE3DzFerpGnKc5jQOF5iel4hljX7iOArXBTDXJ5SrfxMsxBcaeoN6S6jwCLwrXQruTTB0P05KewStiWk72xCyMxrpe2twZG8AetLTiIOFoyOgX20ob+dbrq+T7TO6mfzOskK+PCrswI+/OqsgA+/Oivgw6/OCvg+f/AzWFVWD3RfvIHS7Xpb9oUc/zgrmtV3mM93Vcvp22eUKeJX0kJWnG4/iYWOb2o/naKeizeJBhaPw5//Po18b6/ECzr+wvCrswI+/OqsgA+/Oivgw6/OCvin3z80kpYVRLw8KFpNJI1TjjXmIFbDM5mXz7O0W5Sz46SMtUg7xuVsk3G+jgdp1tfZgiDHNebUx8XCkkw0znEzMXfCHOpcnIgirhOWnqhUolQmI3lOSaUJ3L5czAFvcmEtbY4rX8CLYEdqmdZKIGnbWd/KuM+Q2aVXtp0bFFHC584mxON9O8tFKnSf7CtxxraFIzVynGbHZ+gnX693ztC9+tm8TrICPvzqrIAPvzor4MOvzgr48KuzAr7Pjz6+nw5/7nHRwOKR6Wilnkv13/0XcvzjrGhW32E+31Utp5/mq2XhFbRG1kkk/ZWsuy/cQNm+DskDi8eRLz1pj+qJjzc0NDQ0NDQ0NLQyP6eMI1k+FFtpZGET4oivG7+sYUmyKiShTXMKia0tnbzsSJezZCMDO4edT6E5zZtXoairykTa+VSYIdw5Ng5bNifgnBYoS0qKIpaHh6XkcpxA2Fq2M70mZMvPSS7Ft4S04Lm0cSwJ1WJan7f5fLe52PlhLTcp91oTXsvm2GzsyYiwRhpb6qnvtEctumP4ML32VWtpdV9W9mdnUx8aGhoaGhoaGrqh9ZH/eFIYWBq6L9ognDy+Z4IOUc0/VTrNp73hFbRG1kkk/ZWscdvFpYNXko0+ts8e1RMfb2hoaGhoaGhoaOXDdkVZ1CRvGi8n4leUtxw1KYpil7ci0iJlZ/G6ymZrlKK85GItnENjvu1iqq0t/h5ln/ySTuvE07w0hktEhu91FtPz2VU0VlnnE1c3ydtWyPME8p4cnKex9NI0Y31W/BJLg8i3m33FfclZX2XkixAyG2uVthdDFc9l57NlBlGgU3lDUItOHT1MmUyKfviH1pnZ7Px2XmhoaGhoaGho6MbWo4/tj+7eBSwe3Rf7Oyyc6HivRB2imn+qdOIZZY3NSdQ6biUwrygDloaj9gGTtRxvMBgMBoPBYLDyweN+pVQI91t4J0dYd6Ixtc4X4uTzcV+enSHqyImOwQ2XItNJ05TnMKFxvMQciZKuKFM4d36U53RFWbrNP6eMV1e5FVdK3PmjLD4rfomlQeTbzb4iXyA566u0nhiWzGbrfS+GKg5NJ1mbi0wD9a1YCOZmKT02QrfftjqaDQwGg8FgMBjcPDxg/80VWDz8ijLFmcYOtdYvByeeUdbYnESt41YC91y+WQWwKMwdm6BB+0O7luMNBoPBYDAYDFY+eJxXlJmYV/9UbVroYpdn4Wusx5uLtQty2ngubprXuqg21sIareMg2jiWZuabnKBULiexy6uwH1JakONOmEOeTQLZJLKeMmfNqVXKHCfeuN7OE+3fxTLGcKHAAymV9RfKonESSy9NM9ZnxS+xNIh8u9lX5AskZ32V1hPDktnsfNwCQxWHznfzOtOw+lYuEKnhY3Tti1ZRrl1OT4NZwWAwGAwGg8GNznyhjP/tFVg8Os5aRe0be2s63iuRHWqtXw62zyhTuLhRdRJJf6XqllU56jpvveSAxYF/YOfHZqoeX2gFNDQ0NLQCGho6rh/YlZFA1yM5x8AW+ox1Y0uL7AokDS3YjznKoRTUOp/COxxZ09VMTpoznzSVOzpMziTdfBJyx7HNcywGM4duPj+vDjcqYhOk+HKZ+o4YUSjzKBOvQCsW/TPKTEpWa+mEUiJJ0ziWyPn80oQ0CZ0vploxX9KBb3KRz0JyHEtFdV9i67ukaRIKawuRkDIihPNTQ4PU0pKiV718jZ1V4WJoBTQ0NDS0AhoaurE0/5srVpUtHT2Xbqp6fFe6DlHNP1XaPqNM4eJG1Ukk/ZWqe3DbxSVj8OvPzHt8oRXQ0NDQ0ApoaOhKfSj2nDKTk+ZizbPwNdbjLajnQHO+yQ4k9nVRbaxxqWVbx2MlJ3ltbEqs02pufMwoc/LT2xfVZNJpHixjg2KNGRGLGTTfR8xXfExdcr8aa56TYVwu5CnVai+UuXoeEEGFlAvbsZJ0ncm5iH2OfEJaJO0mghH4mra+Su+zcL4I60tvfY6k1gqLhLTjPCJ/ZoYK45N02yvW2FkVLm5EvX5tK338Ly+j5+6/iR796vX0ib+4mO54DT9nrXo9AxoaGhpaAQ0NvfI0/9srsDT0XLZ53uO7knWIav6p0nhGWRNw9yX6MD9gcRh+YBeN/uBAzccbDAaDwWAwGBznA8f1lngOmneuQXLp0LyopY5rap3vxNBZTD83SzQ9bc4+e+IzO8HMn0GapjyHCY3jJWV9RhlfeJsXboSPUvkCpVparDJ5s5/4YbSzG+IotmJLSLK2tz5HPiGNQ4a61pdE4Eva+irV54ySeG7/vrc+RzyXE4tAdvQY3XbzaondLKeDN/eVaJNpzNduL9B1poV859Vz9KYbi/T1z15NL7++h7LHDtHqwjC95Lpe+qs/uJg+++HL6eyz2qP5wGAwGAwGg88EHvnBAfk3WGDx6L54Y83He6WxQ631y8GpTvpNwxK6VENy2px4jhV/z8SKbev/Bx0b5Huf1ja+mfmKP7mLVt94jomBxeDZ93+RDn/hByaq7XiDwWAwGAwGg+P8gbtm6PXXFn3ak4csDyqbvDyxy/uJQp83EV9YscuKuK8+zvuCKFD4vImC+RycSl1yKVFHjsqPfs9myjQ3VzDlWuFZ+mgaWSmlgWXN2ZQm+jdQ6YKLqXTP1yTPYEs+j5YaRBnh1FXX0tzoKE099n02ozkFJrR7i8bX7Ce0lTFfotCXnGqNmVX7Yc6Yx3fBIlHu7qHSldfQ7T/1OD32BK8A5Pn88VoMb+4r0qZVZWHWm1j3sce5svFKJlbwhbEYEtPxx3Oy9bzzqO3CC2jqm9+i8sy05Pjzt2zdSi0XXEjpbAv9+u/upE/+62E/ARgMBoPBYPAK540/eiVd+FuvMzGwGJTMucm9L/9DE9V2vFcCv+Huy+mjn7zbxET33rOLXvfKD0u+1vH15FSO3sWq4ZFOp2i8+H6riLaufz8dG5y0amXjZV/7ZWrparMKWAhmjozRQ//pb6k4NWczAAAAAAAAwELx+msL9AdvnLXKwl0okT6ATfCFFV6FFF6ACRFJDuT8RAMdF8kq42yiIh9MI4gyqjZtotSFl1D52/fI88EY+bmiqbDvUV+m0z3IhZ8oxy+r7Q7cfliX1/VT+aJLqXTPVzljWrBfp+JpSl1+JeVn8jT58PfiecuS0JeqxH5dIL2J42nT2UQ0TnqvK/wobQIbMyp8FxhIdAKfV5gtRM+9+OX0e3+2h/72Ewdt5sS4bltBLnDxBa9NvXqhi1d+MSoufCXAu42uq1Z8QUmOI3vDTZTNT9PMY49H71/IdOn2Nmq78ipKr1lDH//0YfrN9+8UHwAAAAAAYKUjk2ul6//pP1P7hh6bARaKR376ozT2FP+y1ZmBN9x9BX0suFD2WrlQdnoQPaOMT4h83Jg6RC31K0F3bl+Li2RLwODXn6bS1Fx0PJPHFxoaGhoaGhoa+uT64HET85UA05i1idQuyvnGA8M6iaU8rOGc0+pJjinKx5tOorUSRnlb4zZXoxalho+basOr1ti8afKYMja5RguZWEtjuERk+F7Gcs9XXDhqyUpZNL/YylIb5U1cKFCqrVXGyTQRZJAdw6Gtl9h1Mpv3haOEffkaTXNSDGnie2l7m+CI57Vzc13kW8h7khrva7VH9L4tTqZbJsfomit67J50trP6SnK7w//vlln6vTun6CvvHJP25O+O0N+/fYJ+78em6OdvnqEfe1Fe6s5aVZYx8t7NBMqVTfZg2QRCmgvYdGLFWopy/WuoODBohJRGeZY0O0ezDz1Exf376S13baQP/eHFtkx936ChoaGhoaGhV5YuTeXl32KBxaPn0k3BMT3x8V4pOkQ1/1TpNJ/S6Wkd/y6lxo2q46j//I2oey7fLApYHAa+8UzseCaPLzQ0NDQ0NDQ09Mn1Ay9kJFMBKfQjIlST9mKSQ6IkgHf0HcyH0DtRncXsDNHUJNFqfQ4WQ0+NDHg4vz9pmvIcJjSOl5h3yc8oY/AVkwjxKoWNmfgZZdms6hjYNHMakmoTRM/+0kQURn4socxZl5K0zCGGJZ43kra3CY7EtHNITiIOFM5X4oRsS8L4KN1yQw+9784p+o93jtITvztieEwukP2Xm6flQhg/P4xbEv4YuXeh741ZG2M+NrChm0bgckrC6VyHxMWxMU2YJuRYevP17niSCs/vpB/5oXX0/t86P3Jcg4aGhoaGhoZeiXrgnmckAhaHnks3x45n8viuRB2imn+qdNpdOXOniY2s46j0V6LuPr9fFLBwTOwcoPEdh2PHM3l8oaGhoaGhoaGha9MHR9J+5UzVJsVaH9SxSNZpc3FQI2O1yVySkzDKR00L+BXkpdDmucLlOWe848NEa9ZKyLl0xuY1YZuJuRPmkGeRQDaJrKfMWT3VokzG5LTO7dc1HqqeAXfF+S6UscljNOJAxkscdVwhkZ/T9EGd+rZGcjaKyGx2LLfAUGXnk6zkJOJA4XwlThgO/EUgNTZGnT1t9OM3ZaJbJ7oZ3dzynmWfIfvGSeHo/bhYRitLjWdtLk7UMpuNBW+Z7m5OUmlyUmrF4irHLmG6wgsvUHHfXllZ9nNvOzvyxbYMDQ0NDQ0NDb2S9PiTh2hy9zFRwMLRed662PE82fFeCTpELfXLpdN83UyvmjU+h6jmr0TObVtjemAxOP7w7ug4gsFgMBgMBoOXxgeG9XRCtclwUjshGxm4iJM+5khULAgceWkuhHW1T8wniAq8J01eLmcxPETU1k7lXKcRZcqk02ZKrdUlQTbmTphDnoWFY0mpdlz0K8p4Pl+nHMJlUsUipVpaVARlOkbn1pBjW8A5Kdac2ta3TbKWZQtykhfml/d4q/BtLJvRkoziwJdayYgOkZAyQ4ikT2OjQpnVq4QZrsTN7fbJnabcfk1z7EdFrLW+5Mh0Gz0x0k07Rjrp2Ax/D34+Rcim2YGpXAeVZ2aISiWT4rxa8r6kQhOOC08/TcWDB+k337Gdbrt5jeRdHRgMBoPBYPBK5JFH9poeWAw6Nq+KjuOZwiFqqV8ujlaUNQOHqOavRM5t9beGARaG4w/viY4jGAwGg8FgMHhpfPB4WmNeWSONTfU4dnkrglrvxWPTgvl4Is1J6Gtc0wJ+Bflo56p5s7GWc0ZCjXlFGT8bbN16qTVJc0IkDyqTWJuJGRGLGTTfe+ZTKxOledWd0dxYS6z1USxsAr66wsywxBCP55RaybhAYGdWXxJ2PokDX6X6HNmEi62UPubbiSXLOYmUpVeSOrdfV+dqHFytQ0JW+sUC0dQUtaxapfNzjtkEbn+ucVLYVDnmnLDkDFnWMWo/M9VHHx+8jL46dRE9XthO35vdRp8/tp0+d7CfXhjnZ0O78QHLeOWpVAeVZmd5clfKafFVut4Z5o/cjiepPDwkzyu75IKusAIMBoPBYDB4xfHII/tMDywGmY4sta05s/6+GKKW+uXiaEWZXjub/4paI/ghqvmhTnIz+mn+D2N9j7jAwlAYn6Hhh/ZEx7Pa8Q0ZfvW8Y/jV847hV887hl897xh+9bxj+NXzjuFXzzuGXz3veKH+g7vSkj0xdGR1eM/t4eSobb4T14UwdcNDVF6zzmpzQpQ2p0U8XJcF+akiDhMax0tMXyxKxL+G6OBqfJBAuSQX1iog+zNHyJDuOgoE0bfCaUlwbH3Jacx95AcJF1spvcsJWYOzwbRRH1GwXyXurLkEpKYmKNPXayL7vriPpnVBkisRVrjP8dWRbfRo8QJq6+mj1m7bunqotbObjmdW0z3H+ulbh3S1oftMlhSGWzraqewulHHeNCHH0jM4YZOmK3z/cUrNzdA//PWl1N1tV7DZvhrDr553DL963jH86nnH8KvnHcOvnncMv3reMfzqecdnij/47eeoMGH/vgQsGO1n9clxnO/4JvOOm9UPUc13rNHy+XZFmb92Nt/WCH6I0OPtVOz/RNty+J1b15o8sBgMffcFomI5OpaN+P2GG/xQVW7wQ1W5wQ9V5QY/VJUb/FBVbvBDVbnBD1XlttL8g8PxZ5SxcLE2O0ItyXEQbRxLTj3N2TjRTMevoIbfjvXd5rSbw2zyivLaTGfHWm9okIifM9XWJrl0ptqKMsccmjEayCYR1wlLb5qeesVWlNkmRRJLhZNmiBlT7UKZmEGdxBIIjNKefUkEvuQ05j7yLXOgsbLEptecVdbgbDCt7cVQxfOGY5y/RKSmJu1zwNz8prk3IrGy2ydzvNmc84RTtGNqHQ21bqb2nlXU2beKelYb7u2l1q5eynZ2U7aj07QcPTfVS7vHsn4u3gt3lkstrVSey4uQ96cv8YRdQlhjyfEz6Z54jNatydKH//giWzn/Bj9UlRv8UFVu8ENVucEPVeUGP1SVG/xQVW7wQ1W5nSk+Fcq4/eISkNu8yh7J+NYo3+9822L9EGE+uS33+8tk6aXv4TfR6OBzjN9896usIvqTP7yXpqbmrFqZ6LtmK6275UKrgIVg38fvp4kXBq0CAAAAAAAAlooDx1P0+muL1NuhF4XkL+h8sYeZpWnsiJTAtAB88iGGrXeIVCKw1cnyCHKRIti/Q+W4hD87TeWzthDl5yg1PiYrygp5fcaYVuo7lV5fcbYTu/mF+Vlnm88mOnrEzD8TvAEJAvaKOjuJ1q6nmWeeDe0Att7lTRCVSGB96Q2cHy/y0iDm24kjaTmCTQiZrsK3cO8vep8Gz4x00IOD3fSNgz30yEAHDUzyeyvRqvaSqfOFvCItqSnbSrRhE83t3iMXl3TPlcexAokynjas/urMZdTW3Uur1vbQ6tWd1N3dTm3tWfPVpSlfNLVm36Vikcpmn2NTebp41Vz0/sJ50lu2UWZ2iooDA6KDb0V3qq+Inc9c5j9zhTxtvWoLjU0U6NEfjIkHAAAAAACw0tBi/q619qXnWQUsBPxv2sfPkAuNl1zWTz/2hssk3rvnOP3Dxx6V+HQgWlHGm/71ff7t9PseYd5tp//9hapyW6jfuXWNyQGLwfGH9wZHUrdG+36TG/xQVW7wQ1W5wQ9V5QY/VJUb/FBVbvBDVbnBD1XltuL8lDa+IKDkmEttHNTFm6vR2OWtUC1jNaU5Q24THTRTwgWqOdTY50yTcZKyOcOlsq4qW9dvc6bxWZEWSY1Mzo3hEpHhe96EC3xBx0StraLdPFIhkllj7iTmi0IOnLdwtSpcZ3IccsQ+K01rJzmFuoHPczlf0tZXGfkihMzGWqV6aijxXNycH0R7xtvo73dvpa8d30Z7yxupkFtDc+2r6bmZtfS5fWvpo0920uFxKRVEn9NC5p2alDjT08UZOzXv03PV5rywVihF+2e7qaWtg3p6O2ndum7asLGP+jf00pq13dTbl6POrnbKmO8uk81SuiVLR2bbaWSG55EJZR73XlMtLVTO5yVWgz31VbreGoxgntKBA1QeHKD3/Nq5dMUl3bay+ubmmW+DH6rKDX6oKjf4oarc4IeqcoMfqsoNfqgqN/ihqtxWij907/MmBhaDjnlWlPHWKN/vfNti/DhCp3JbTt8+o0zvw8i/cxfqUDWG77G48XEdqkb0O7auliywMIw+vp/mjk8Fx5I3RlyHCj58+HEdKvjw4cd1qODDP9P8B1440XPKdMTJEdadaMyJ5/Pu/PNVU9IPDlC5u4eovV1y+pwy40iTVMBhQuN4iTk29kKZrIYK4OoU4SjT7Lx84SUEr2KSlVUiXKfHnyE+K01rJzmFuoHPcwXzRb5K64lhyWy2Xvqkb7S+B025fmimhf59cBvNtq+RZ4C1da+iti59Bhjf2rClo5OGit302WdzNGsPV1VMTwml+fth6PSOBC4Oc/NlWQ7mOyidaaGOXKtcGFvf30Nr13VTd08HdXS0UmtrhlLpjPky+DacerJ+ZFLZTeeOWUtbcKGMU6YJOZaewYkwlpfEhSefpOL0LP3F+y8wym3shJvWhjpU8OHDj+tQwYcPP65DBR/+qfJnh8Zp7KnDkgEWhg55RpkeT2W3MeI6VM3qx+HdWsf7bWl+sKIseT2t8XSIeswXqkbUOawoWxSG7ntBjl94NKGhQwUNHSpo6FBBQ4cKulI/9AJfTDCxEZKTONlkoMYc2jwbmrObq5HGQ4KaoHFaLamo8KPN1UgzhZKr1ojSx4eJ+DZ76zZwIbW06OfSpmOVOTRjNJBNIusp67w0N0uU5WdbqZbNxVUalfV2j8nnlEW+CNeZHIccsc9K09pJTqGu+jINd8F8ka/SemJYMpudj1uFz17o2/7h0XXyvK/Ovj5as66P1vb30aq1vdTR3UOtuS55BlhLewfNpDroO/tOdMHVYHJCnlPGu9b98V6UbcRGxJKTIuVojOW2NN9bsSTXrTKZNPX25qgj10Yt7vl0ZdPJmbPp+Hsxhe0tbrxtdh8trcYwf3YYrOUtSGzZJYQ1djnz0opSgVLP7qBzz+mkX/zZLeKzp+w26FBBQ4cKGjpU0NChgm4sPXTvTpMBFgq/oqy+30ej6hDe4+3U6tiKMh9X206/HyJ0dDv97y9UldvCfVwoWxyGH94THEW3Nd73G9/gh6pygx+qyg1+qCo3+KGq3OCHqnKDH6rKDX6oKreV5+8fNknD2usmMlo541wDk3OVPqs5XxN13hHSXAi3iskWSMQcUxJ4T3xDsRVSjHKJUscGqbSuXySvKOMTJS2WwBfLflk4lpTqiMuU4lVG2axoX6s10f4tC1zIF1NcbGujOo7FtPNIyvqaZoeTTqovOUnbWutLOu7bIkfqsrbzVfgSx/2xfJp2F9ZTe1enrNRav6FXVm2tWdtFfaty1JbroExrG6WzrZRuaaEHD+nKO54vhJOpqSnKdHdZX/flXWbTxPSs5N6nfX+SJOrPTlBhdobGx6bp+PAk7d83RINHR2nM6KnJWZqenqVifo5K5jsscivk6awevrDG8+jGYE63ZOQ5ZqJlZ8wac5X0dpwa6gnrKEmXho5ReeAo/fp/3UbbtrRzNrFJ5Qk2+KGq3OCHqnKDH6rKDX6oKjf4oarc4IeqcoMfqsptZflDD7xgMsBCke0zf3fuag2OpNsa6/ut3Bbnhwjzldvy+rEVZSe+ptYIvodmvFvb+FA3tt+xaZU5kcxIFlgYpl44JsdwKcefN/hxBT/U8OHHFfxQw4cfV/BD3fz+Ay9k6ODxtKykcc2kTbNaQpd3ObtJitnGZuPA57RxOsoH80XNbTLcsSmUXLWmdVrhkRo8QpTLUbmrW3RaVhdxsciAOQib7yPmmgJfKGuVON5MBXdcaVngVpKVSm5CYQ59mRnv2HocRPNIjmPXc8exGNI0DnzJiGEbx9bnTlwJFM5XUlcLFSbeN5mTC2F8K0N+7teGDX3U399Lq9Z06e0Nc3yBrJUymRZKScvQrqGyzBcikjNTlO7stL59PyLsvk0LWRvLgLmahcG61jlanT9KEyOjdPDAMO3eNUh79xyjI4dHaGhogqYmpqg4y22GinOzdHHvNGX5TFnm0U1eqbT+OSnZE3rZCee5SZVprncGS2UOuZeU2UrPPUPlQpE+9MGLgqzbXK3f4McV/FDDhx9X8EMNH35cwQ/18voTzxyVDLBw5M5aLcdwKceft2bw4wjd2saHail+2l9JYyg3rvaorb55NZ5PtjhM7z9uTm7zFccTGhoaGhoaGhq6Pnp+hN7y1s0/6kTzxZEaOU40O0vlfr39on9OmciAw4TG8RJzbLgmWlFWI6ILZXobPwfZi9uBgd+HjU0g+5NYHAm0545jMVzC5qw0fcyXia3PnbgSKCRpMlqmrhYqTDyab5ELRdlshjo722hdfw+tWtNJuY5WyfHtDvliEd/h0E10fCqYI4HU9DSlOjrsMeI62bGwJYVlJ0+ES9sO0fTIEB0/OkD79xylPbsH6fCBIRobOk5z46M0NzlOc1MTlJ+epOs2zNlRwcwm5At8Erpn0rFtmpBj6RmcsEmJbajKNNPzn78XnqNLL+6mN9+10WWl11poaGhoaGho6ObW488ckSywMLRv5ueUMeLHcyXqOCr9U6X5dNBeM2t8DlFLfTNzJ267uChMvjAYO45gMBgMBoPB4PryA8+nNeYVNGHjrMShJ4U2zxUuzzlbJ/PaOGxawK8gr/PF6qKmdQtBauCIPqfMjMvwRRmZRBzLHJq5NZBNIrsfJd3/Yi+UlYv2WWUWPGX4OXSfvA/1OIh8yVlfpfoc+YTNWWn6mC8TW1/S1nfgJGe0TF3JWZh4fdsslQoFmpsrmmZ4tkCFfIkKhSIVTSsUzGfkC4Ilvp2haYY39tjx1TA9LZTp6pJ9aeNd8d71fTAilk6FvDd+BcxtS+ccXZPdTdNDAzR17AhNcxseoJmRYzQ7NiwXy1Izo/TqLRPU26H7406mcfPws+wYsgpQ55V9aKmySwhr7HLmpS3KmXboINHoKP3OL2+njevbbI24YDAYDAaDwU3PuFC2OHScxc8pq/04NzOHqOafKo6tKGt0DlFLfTNzDivKFoWJFwZjxxEMBoPBYDAYXF9+4IW0xG5lEGfVsXCpKGN9Q0FVBHU10pVK2lxltBufkaZ5l1MsVKeOHCJqaaHymrV8diQnSVLCnSs1sbwbx5KSohin5map3NomvsMJ988XyviCC8OljS8z2nm5cSwbM+cds29j2Vw+Yjef9XS2hM8y8J0Ww/tsWBJPchYcb++clpVYx4cn6OiRUdq9a4D27ztGx46N08jIFE2MT8szwrjxrQ2L+Vna1Gv+HAXzMJxOzUwp860xDbt8xNInENbwK2BpZrt81SS9aeMLdBHtornhwzQ1dISmhwapNDZI1/YM0M9eNkEX8u8ryjjPOpXZUu7iZlGSfh/cuIKlJhwrWWafPYmZtZWe3kHtbWn64/deoDWygcFgMBgMBjc/jz9z2PTAQtFhV5Qlj+dK5BDV/FPFsqKMTwmbgz1qq29ezmFF2aLAK8pqOb5gMBgMBoPB4MXxwWETp7TxihgXW6mdy/HmYklzxrCUBTkOYrXOi9fFa1zOY8F6doZSY6NUXs+3vSPKtGRk3uhNMlwiMnzPmzB7vAqqtdVM4p8zfML9p9N6wYXh0rF6ju3nFGn3I7HrvM+e+JqmdE8Ppdo7nLTN9BI4rpC+swmVMlLjIGLwPnmh1ZUdh2h27Dgd3D8kzwDbs/sYHTpwnI4NjNHc5AQVpiepODstzwF79bl668LY8TCINK/OKxR0RVmQj1iFxsz8Crhq481wV5bohv5p+tkLB+gt5w7QT190jP6fKybouk0l89VxDc/h5gmYN3v2LFe6GCylxtaJdL01GDqBOBwzS4WNaXqKzIGjl9+4il5hmroMMBgMBoPB4ObmcTynbFFwK8pqPc7NzHHUPq7eLCvKGM3CDrXWNyun21psBCwEvKKMUetxBoPBYDAYDAYvjO97Pk0HhvV0ojq40lVXx4ndJBZWvVDI7RdXr5GLXNEjsRgRhwmN4yVlWRVEM3q7wHJbu/BJwauT3IqyqtD98dSyHxO4FUjlUtkM5VaiomFufHtDvtVhatUa6njlq6jtJS+h9ltuobZbXknZa66lzNZtdh7bMVsKZEVCpdmnSttrxJDPbtpN68coN8WrtI7S8KEjNHjwKB0/OijPBZsZO06zE6M0NzFOZ7VP0vVb/MXE+ZCanqJ0Z6dV1eDeDe/fa834OM4BTKozS9TOp10mlgpbpuRmsUnDfGFLw2AloGlCjqVncCKM5SUxs7xLe1ylbu9uKpvv73d+eRtnNA8Gg8FgMBjc5IxbLy4OmVxrTcd3JXAStY6rN9tnlGljNLp2mM9fKTrdigtlC0W5UKLpvUNVjye0AhoaGhpaAQ0NvTQtF8p4NQyT20QHzRarduzG2ZyMk1QsJ71o32Q6pboiNXhUn53Vv5HS6bRdNSRvRMH710A2iaynbN+jvVBGHR3KJ0E5XFFWFSl7naUcXBgLW0m5aJib0S2bN1PHDS+m2ZFROvAf36BDX7uXxnbtpVK2lVouuohaX/oySq/mW7ybN87v3ZL7jC6ODCbWoW96VQrnZ9JEP3HuMbqoZb/c0lCeA+aeATY6THNjI/Ti/nF68zV6+8KTwhzPdFennV/3E2u8BRy9L5vjl+TEciyhbZqT6oC54y1kiZnlSqqBPZuWnL60jNklhDV2OfPSCpvT98DCtELe/Ie1ly66oItefcsaW6tjXGNAQ0NDQyugoaGbR+Ni2cLRkmud93iuNJ1E0j9V2j6jzP1d3/12W/R3/4Q+3b5Hdb/R33/tPlaULRz6fLLwePpYdeN8v6p9rBp+XPtYNfy49rFq+HHtY9Xw49rHquHHtY9Vw49rH6uGH9c+Vr0y/f2yosxXaBULVxXU86oZEdwFvgm9Yqjye+SaahUeCXtxfrEoF8tKGzaJn+aLFhy5YlPk3pOyHccqYhMUCtrac5wUqO8Rk3zRxa0oc0bAulKLWbXgBJzO5Sh31ZU08fwuevbjn6bhHU/T0A+epANf/gbt/Ng/097P/BsV5vKUve56arn0Mirzs9nM5DyFsm6yQ9YBR3XWl00SzK4RtWaIbts6Tf/vxUfpFasP0zmZw3RR+wC9ZvNx+tWXzNEt58VXkskcAWJyZkY+k74Pftn92I3h2I/UWhcKMbu0ZYlNn2QlWxGy7NdA/mwYab+36L1J0xrpJXaGesI6yqaZtXGCifbvpZL5jv77L2+TBYdapeO4MeIaflz7WDX8uPaxavhx7WPV8OPax6rhx7WPVcOPax+rhh/XPla98nxcKFs4kivK/PFsvO83rhfux3H63p+7y7q9gia/62ajany6fY/qfqO//9r9DC6ULRj8fLJajy/8agwfvgJ+NYYPXwG/GsM/E/0HX0hHq2GiJqbTHAaea7yJ53w3o/WDJo5lh7hi3wYWi/VThw8S8S0T+1ZTpsWuGnLFUhQ230dsJ+JVZeV2f+vFE+4/XFHmjCVwx2WXynz7v/Ytm3KbiU03c2SQ9vzTZ2nooUcos3kztd5wE6U7curbEdIc8SDTRHIn4Jyy5CJfC1zf1ZqiazaX6c5LyvQjFxFduTktF9HU9/DzKkLJxzLV0SFzS+PNsdn0pSwRs9SKFI41WyMsQ0J2RSaqwrpfI92KMgdJSpmviXpnsFTmkHtJ8WbHsM8lfNE2vW83bd2So9tfvS6qZVRn+PAV8KsxfPgK+NUYPnzFqfIncKFswch0xleUeW6873epfhyn7/3hGWUNylhRtnBM7z9e8/EFg8FgMBgMBi+eP/1g4oKBgfPDKB6fWJ1OpCbGKTU5SeWNm/TiBV+1cG9PlvpIYFtg2V5WBTGmp2u+9SLxiq583oqlIW32md24gSYe/wHNjk5ILnpv3JuOI36fw997nA7827+b/Wep5brr5f26Wmkq9GObzpKHxKYTw5It8L1GS8LMjBCvKvPzBfMmUkKmCypisVeWY9Ll9PMmEeXkapaBOyBMpgk5lp7BCZuU2IaqTOOEqw7MQwepOD1D7/rFbZRJp6I0GAwGg8FgcLPyxO5jNgJqRaajlcrur55KK5aTqHVcvdn81VuvorlraRqHurF8h/l8jZvfx4WyhaMwNRsdv5MdX/jwVcOHDx8+fNXw4S/c5+eUSd5eWIqa24zp83ZkpMPGdeyfXqQOH6DymnVE2aw8q8y8XWuY96iBbBLZN6ykn0OiqUkq5zolPila26g0rReDlorWrVuoNDtLQz94yr6p8D1ryh1vTsweGaBDX/iSOflOU8u119uLUVKpxJFIN16T0rtODPNy86q0vUZLQWpWn/mWynWYjvfBQlmbiy3z5thsLBxLVsyQmQKW6S2bJkNj7AKvdS7VzpYZOBDW2OXMS1uUs3M4k7tyiVr27aLNm9rpjbevl7Q2KRCOa/jw4cOHrxo+fPiN6pem6vPLYWcasjm9U8XJjm+z+0kk/ZONr5ef5t9h46tmwe+yJXRj+Q7z+Ro3v59uxYWyhaI4NRcdv5MdX/jwVcOHDx8+fNXw4S/cv2+nW+3iKhhurEIX3nhPfEPRCiTLDqdTpwYHzFl8kcr9vKrMJJxlauRTOZYUM3+WkE00MSYXwCjbqtrmHUJdbm2lsl01ZaflAstKtWpeTVYYGKCpyWmb0/eqm6Z437J/ZpObHTxGh/+dL5alKHPt9XKbQ/F0eFQvkpMSO996QeNBsrk4ynssSLsVZR05ns54RliWJvuwLJWepYUD2LMDVWot59RVxLgiaQL7a71+LmZrsWbPJhwrWbZjVTJr4wSTKyofOUz56Tn62Z/arGPcvJbjGj58+PDhq4YPH36j+ry4AVg40rms8MmOb7P7SST9k42vl594Rlnjs0Ot9c3IqZYMpTKVt7MBTgy+UFbL8QWDwWAwGAwGL50ffF6fU6aZlK6SMZ0yV4S5sGlOKiw7nFZdLMjFstLGTZQxfxdPuTMlqTHNcdDzJmznSU/Y2x52dwufcH+8omzG/qOBSzt/ATrd3k6Z3l7KHx2gmWkzX1TiNjfMvs9gjrnh43TkC1+iUrFImRddK7djtKVcLZuVdhzPoQmey30e31ufo8B3WKjmi2XpzpzJs+ea7sP0ns3GwrHEVTgay2ymj5j3xXnHktSEjrccnaKZ2JF46qt0vTUYbg4bM0uFjSUnAcdK2cFDdNH5nXThubzaL0qDwWAwGAwGNx2XpuZsBCwELTn95btaj3OzchK1jqs34xllDcgZ3HZxUXAryhhgMBgMBoPB4OXl/cPulGLlIHXkEFFbO5V7V9mMgS714cC25LEo66ogRn6OaM78nbRLL5TNC74q0tJCJbeibAloWb9OeObgYWH35vT3Im0vOfs+re+QHx2lgf/4KlFrK6UvuURtKdPNStNxz3NoIloNpdL21ufI1iwFfPvFVC5n5w/3k2TTRFrm9ybSfQJFGFfAmTLeBvJyBsP9mbc5Ji3TzyuSewYnwlheEjNzL8dQUpEZIXXogKTvfN160c4Gg8FgMBgMbjbO40LZopDutHepkH7lchK1jqs3yzPKGM3CDrXWNyPj+WSLQ0FWlNV+nMFgMBgMBoPBi+f7d6b1OWWyGkabuJE2SnLNg9T4GBE/Z2yDrirTpPksGkSf3X0sZf28DqmJcaKTXShr0+cN0My0jOXhwiZVVc/DjJbVq6k4Okb5KTMXJyTPNY41JeMkkJd4ihTlzfiRBx6mTP8GymzabGvcHLbSzavk51Npe+tzZGuWBF5R1tHBs8qEjiUOWJvuL2IzPGKey8ZaoJ5nHpdovDk2m30pTF7J521omg2ENY6PN8rm3L6iwVGFwdwcpUeG6fU/rBdCZQ4wGAwGg8HgJuTybJHKxZLEQO3I5tqEaz3OzcpJ1Dqu3izPKGM0CzvUWt+MjAtli4OuKKv9OIPBYDAYDAaDl8b7hzUSJWn1HKIFNRYJ2ZB++sghKq9dR6ms/Tu5KdLP7NiN8585trJqYjxaUVZtfuE2PektzszKWK5zq4uq6nmYkZELZaM0PTmjOclzjds0JeMkkJcmmSRRpomdz9PUnr2Uvuhiog5exWVHh/Uyhws5Fsf7PKKK7xBXdkiApM8XylK5DhPIhJ55bvYty77ElaztPQtkvGV+OVYhrPPoJqWWbaGHnSuaQ5pWS2/nUUM9YR1l08zaOMHkiiTkfvAobdrYTldf3s3VNgsGg8FgMBjcfFycyksM1I7wGWUrmZOodVy9GSvKGpDTrbhQthjoM8pqP85gMBgMBoPB4KVxfEWZyXEXICHtSI9G9FMDR8zZkjlZ2rBJfe2C5vuI7URSwSvKWtuIsq3z77/V3kZl2q0oW2TLpCnT002lsTG7c9PZnRjXbi5tNutLCcdMorQfue8BKoxPUOaKqyiVzmhWy7TeNKmWtG4RZD6T0TLTOA58g7iyQwJU+HMzlOLVd2n7PDw7pzT2k8y9vjgZseQCjjXeQraxvpRNkl8aM0Qwa2Op41i63hkslTnkXlK82THsc4kgrDs2QKVime587TpWLgsGg8FgMBjcdFycss/mBWpGC1aUnVLGirIGZKwoWxywogwMBoPBYDD41PKnH7C3J1xJKBT0AkX/RkqnzefTpT4GzO6zK6IjEdWYEy2+faNBubtHuCpa26icz5sidwua+Iy1cqazS5hXlOXnChK7EiX9tvjtcZRc2aTwqpwv0PA37yVq76DUeeebXFRsmOPEfJFpwEnOKBnmOPAXA/sMN75YFs7k4qqzR8mgSl6q9V37WOHYIAgjmJyko3IbMFmPUyq5Z3DCJiW2oSrTOOHfiQ0ELiwXipQZH6Hrru41OVcJBoPBYDAY3HzMj8wBFoYMVpSdUrYryrhvBvao7q8MzrTpfwTAwlCYyseOIxgMBoPBYDB4efm+nSvwQplB6ugRolwnpXt6jNBP7D87pxxLH2lBfk6fc9bbZxOVKOe6qDQxYSI3zrCdS1FFV2F5fwbFsXEq8AU+FvJewvesKVm9JIG8xIuay5muOD5OY997hNJnb6E0fwYx2OMinsOGdovASc4oGeY48BeB1Kz+5nE612H3yUnHbl+a0M+m+5TGW5KDWF/KJskvzbnGW5LtSXSKL6CaJM9lkvyyNdxsIKyxy5mXtihn53CmduJHPDZK285u13rpwWAwGAwGg5uPcevFhUNXlMWP48rjJJL+qWO7ooz7ZmCP6v7K4FR2Zf6Dw3KjNJuPHUcwGAwGg8Fg8PLz/iFDFskVRM2qU6PHiWZnqbx+gzllsp/VePqZXZ1RMQ7HjxD19kXaIarr7JSLWzxWYVjCE+gqzBeQynNzps3S9MS0zi/70Peqm6bYcz7nwjqXU7tMU8+/QPnBY5S68GLRWqLjtYZTuvGLUeFbHWLBenpKONXeboS8bMdsE5b1vXBfprF8msbm3DenmwxhljDBSSmsoxKjfcT7cvuWpn7kRYZ6wuyzJzGzNk4wuSIXC5s/iz3dLdTZyeeIMgoMBoPBYDC46Zj/3RZYGFLtfNe5+HFceZxE0j91zL8KZwLXGI2uHebzV4oGFof5jie0AhoaGhpaAQ0NXS8drirT1TEezaxTg0epvL6fUpkMKzaVgz76LUQ7LuLR41Tu6qZUS/yW6uqb1tlFpXG+UMZjxVkUp3M5Kk1Pi+aXJMWXCrtpWjLiRwWWpEJ7tnkzwdhDD1Gqs5PSW7dJreZlCMuoj8iY0iSWjG0e+vk9atL5OUp3dLDgl+YSzG2q0EIPj6yhj+y/gD515Fz658Pb6X8/fzY9MNBNE3N62uvGmIBfEWvaxo7Zs+9BIscC+2deCsTy9VFvDYYUyEtiZqmwseQk4Niy+Kaf4u+XaOtZ5hgIdLQvhIaGhoZWQENDN7YGFo9qx3Ml6SSS/qnR5m/4esVMG6PRtcN8/krRwOIw3/GEVkBDQ0NDK6Choeul798ptOKQGjhClG2l1KpVNuM/s/ZeyaqgAKmREeFqt18s53KmIEXFMfssMzs0mnM+nWTT+AJSaWqaCvK8M8079r8haXrJ2fdpfQ9fxx1HvBVGx2nq2ecovf1cInlGmNnsWKWYkLmlSSwZ25YGvv1iii+U8VzyqpzzybEe+tTQxfR0eRtlu1dRa3cftXb1UktnDz0xtZ4+vqufHh9ojb0dFzJr7Ga2TvRhfUXFM+WsJeRYegYnwlheEjNz745XNDgBGV7Q53mcvVkf5q6FrjGgoaGhoRXQ0NCNrYHFo9rxXEk6iaR/ajSeUdagDCwGlccRDAaDwWAwGLy8fGDIryhbSUhNTVJqcoJIbr8oGfuZTaRk2WSj5UAWhbyMLfettokAnV1CpdExXTFkOmGZ5wQ6yWaTWy8GK8rMiwtE86asKR3HgbzEU4ipSkIdy6VTT+6g0uwcpS640I/XMtvzABGRL1nJWX+pmJ2VC4L6nqSXTV8pOjrXTt/Ln0tt3auorWc1tfeuovbuPmrr6qXWzh7K5roo256j7w720aGJtIyRdxa9V5th5jdum4vF58bvhXMMcxbN0Bp5iSXsEsIau5x5aYXNubmjwVGFQtL2/L0rx6sTZRQYDAaDwWBwEzKwUOhRSx7HlcZJJP1Tx3hGWYMysBhUHkcwGAwGg8Fg8PLyd3dS9JwyzoSIFtRYNJtPR49Qec06c97EjvvMbpxREdu89BbDx6i8eo0VCvbLPb1Umpigcn7Oj2eSeRameaVVaWqK8nO6okxXjLHLNW7TlFvxxQnOaR3HYlbUcVwqFmnie9+j9Lr1RGvWSl5H6BiJmUXacZLTmdXnWBGEgtBjVPVnZ/QZZayjCsMSlumJqQ2UzXVTV18Prevvpf4NPbRmXQ919XZRS0cntbR3UKatndKtbfTwAM9jZ5H3qiyTMQeNs465V82dQUkD/9k15qz0EjtDPWEdZdPM2jjB5IokFN/0LXzrT6KRMX6uh4wCg8FgMBgMbkIGFgo9asnjuNI4iaR/6lhv1t40LUQ1fyU1YOGodhzR0NDQ0NDQ0NCWu7nnlLEKwStiQjSbnx4aIGppodQqvuDFrla4PmI7kfaK9NEjRO0dRB05m1G/vGYtFY4NGcHjNOt+i3EhOtWSlWeglWdnqZAvcNo000lNVCVS02azvpToZJKPevHidXNHjlD+6AClz7tA81qpxFFQq1PqXJpxOUUQCkKPUc2Pbr3IsXZisDdezNLhdD/lurto3foe6t/QJ23duiaHp7UAAP/0SURBVG7qW9VJnV0dlGltp0y2jTLmeO2b7KCRWff5PIcxszTZjWXeNFDYFWXWFC+s1d4ZLJU55F5SvNkx7HOJIKzjoE0vEh4Z4FswcgINDQ0NDQ0NrRkbsDhUO5YrqSVRrebUNHufFL5q1gycRK3jmpWBhaHW4woGg8FgMBgMriev1OeU8W3/aHqKynKhjD+rft74py/rqqAkZqb19ovBqrJyVzdRaxsVBgb8JBKE42vTqdZWUaXZGXVdiWUl+/uRppPfldRAcq6PKfF0sy/B1I4nifjZauv7jbJZR8Gc7jAo2d7mFg3z+fhiJWX41oMWZk6e9vBMjtItWersaqNVqzqpv79HLpj1rsqZXDu1t2cpbcal0mltqRTtHzUnwtEb9W8ufJsuDnMiXMKuKHM5IcfSMzhhkxLbUJVpnHDVgWngQhlu/rwwDh3hC2WRAwaDwWAwGNxkDCwOtR7fZuUkah1Xf3Z3V5frZnr1TDmZbwzfo7rvquYb3zw+sBj445c8ro4V8OFXZwV8+NVZAR9+dVbAh1+dFSvb379Cn1PGSB0fptTatRz5T22X/yiZbLQcKI7U4FEq92+0ypx+rV0nXBoakrGyoihqlZq7+XS6TS+UUT4frSjjElvo3qkwp9w4Tjgvai7HzHW8uZzpi0PHKX/kCKW2nyNaa63r5uRxmorGcXO5RYMvlBnIc8p4P3ZO5kJZJ89k0tTekaU167pp1epOam9vpWxLmtIZLrRNUKa5IkseHbDEyhxIecAaiytI8Vm0y+lLy5hdQlhjlzMvbVHOzSsJ60o6Yr7tZCFfouMjfOtFGRVjRWUevrICPvzqrIAPvzor4MOvzgr4C/OBhSJ5XB0rKvPN6SeR9E82vn5+Wq+ZBb/JZjmZbwzfo7rvquYb3zw+sBj445c8ro4V8OFXZwV8+NVZAR9+dVbAh1+dFSvbv0+eU5ai5MqqlaD5QhnlOonSaf+ppc6oGFeOp8OHqNzWRuW+VUaY47N+A+UPH6ZSPi8zcT0PmY+5m0+TW1E2Myd5nlDy3Pg9RZu1Ted8zoV1Lqe21kkceWWa3rGDUuY4pNb3i45qhL3WUao54TxxLDvUovnWiwy+/SK7OjujTOtap6mYn6OpqTmamJil48MTNDY6TdPTczQzk6fZ2QKVCvmgFWhjlxvPMwRsOmUbOBbD75Uhb5NztkZIalhqwrGSZRnG4zhm1sYJJlfkYrHa22lwcJbTmkuwojIPX1kBH351VsCHX50V8OFXZwX8hfnAQpE8ro4Vlfnm9JNI+icbXz/f/uqnv5LW2JxEreOalYGFodbjCgaDwWAwGAyuN9+3M2VXx3isBJ2aGFPR3cMZCV2vv3/oP3fF+GKB0vv3UumcC6i8cZPcdnHuuZ06L/vMJlgMRyvK5vgZZbxMSiZU5jDaNC0ZHcwiVhf1bPNm55EsGwbFkVFZVUZuVRlbtkbqI3CsPof6ntWP19WozeeTuL1dZzY53kxA69vy1FsYovGRcTpyeIT27D5G+/Yeo8GjYzQyMkUTY9NUnJsxbVYuqK3OztLmXjNUJgyYA57XsuYs88Yeb+7ZZO78mqXUcuMKrdfeGoxoLo2ZpcLGkpOAY8viG2rroGd366o6b4LBYDAYDAY3GwOLQ63Ht1k5iVrH1Z8T90hxf+N3aDSdRL3nbzQNLAz1Pv7QcUDHAR0HdBzQcUDHAR0HdBzNqw8M22ClIZ8nKpWIOjuN0M/rPjVzyXjFYslwWeJCoRi1udkC5XfvpvLwEJXOvUCeTVYasxfeasD8R9ucyrW2UZnfm4H8HmT4poQ4sL3kTCxLlDgO4eu440iUvmKYeeopu6psvc7p6nUHFmpEvgni/iLAz3vr6NDYTSwo0yVth2lmdJgGDg3S7hcGaPeuAdq/f4iOHR2h2YkxmpucoPz0JBWmp+jq9bN+aAjJ+Tl9r5DjEYP588DgtGlCjqVncCKM5SUxM/dybCQVmTFwei7bQfsOugtlySLoOKDjgI4DOg7oOKDjgI4DOo6lamBhqPfxbzSdRL3nr10nLpS5K2gOjaaTqPf8jaaBhaHexx86Dug4oOOAjgM6Dug4oOOAjqN59X3PrdznlFGhQPlSiibGZ2ic29i0tLHRqYSellsAct2k4akp0yaNfuz7NPWte2n6wYfMIdNjJiuWNJiXJZpHp9paqTw3ZwLz9qo+o8yxpmT1kgTyEk8hpioJdawtlaR1qTg6SoXBQaKztorPaa1VX6FG5PN8MX/h4Nsv8ooynlQ/A+9V576wZ5q2lfbT9PAATQweodGjho8N0MzoEM2OHae5iVHKT47TeV0TdPkGHaPjPct7dFuUM7bZ5KVC6hXKLu8sYZcQ1jiah9OsbE72JcKZrkLB6ZauDtp3ILmizAE6Dug4oOOAjgM6Dug4oOOAjmOpGlgY6n38G00nUe/5a9dYURZDo2lgYaj38YeOAzoO6Dig44COAzoO6Dig42hezbde3D9khUW0oMaiYnSz+K2tVMrPaWyT0SqpGnXRrSSbx18op7L2QpmRMlfE7Mt6Jbtpir2ojieQOo7FrKiTWArYE1fiuT17KNXbS+Vcl63RegeN7Xhp3vdVCpuOMK8/O6MrynguSShzz/yqTSN0c9du6p7cT5ODh2nq2FGaHhqgmZFjtKp4jH5o8wj9yIUl2UF8pLLG1nM1krIscYCyriiTz8UvaTqLjuXeGeoJ6yibZtbGCSZXJCH75jtOZTK0Zz9WlCmg44COAzoO6Dig44COAzqO5dbAwlDv499oOol6z1+7TuXot5JuQyKdTtF48X1WEW1d//t0bHDSqpWFvhdtoav/+iesAmrFPTf8gY2A04ESDZl22Px4GTZtymSKagAAANQVWUpRF6VpjWmbJQYAoHHwL+8o0E3nN8XpRe1Ip6l40yto5tHHqHDooEn43zrkix2yWshifs3HJDWvXgx3XHMtUUuaZh58mPa9cICmp2ZkdRKfNymnvTYtnTI6ipnZ5493sjrTxNd8OpOh7te8hlIDR6n8/LPyOeQT24/NtcpCBjzehotEaes5VFq7nubu/ZbNGPCcehgtNDE0laJD4yY23sbuEq3r5OMVlDmE46sUVLVXraLstdfTxDfuofKkORc1Sf687PnPHbD4ooQ1DOrDnASaj3K9fVS68kX0qtc/Ss8+z3+/BoCVgTLNmXPHA4YHDfMvEdhfRAAAAKgrzN9diJ9xuspE/aZttHngdID/rZv/zRuoHbs//B3a8+HvWrUy8Ya7L6ePffJNEt97zy567Ss/IvHpAC6UNSBwoWxxwIWyU48yjVCBHqdy6lkqlI/ZLFF7poNa0/YB8wAAAHXEdHGa8iX/jylpOota6BLTrjaqRZMAAJw2/OoPF+lXXmef37RS0NpGxetvktsmFgYH5CKGXjhJyWogvsBxIm1IIOPUEMQ0lxleiM7deAOVZudo5rFH6YWn9lCxUIxf3EqnTWzKwwthwvaCV6SZbS4ay3GyjufR+TouvZRat2+n0nfvpZRdXcU1DhqqdunQXyjKGzbJM95mvvJlO2sVsOGOTxWYT2FsvdBYFScdb7BqNWWvvY4mvvZ1Kk9Pa14OCr8s2zj2uW1OXtawaQk01oT3DW/YSOULLqZzrruP5uZW2H9XwBmJAj1JRWkv2Iz5u5z5WdPZ0qX/DQAAANQRxXKBJgv+345bUt3m//UXmLPGK8x55CabBU4VcKFs4cCFslOL4EIZ/6XEhoLG0nxiNl58r1V8oewDdGxwwipGffd3OjUulC0O8Qtl9fs+FNChLtMs5emb5kTne6JvXv9yeu2m19BN626gi3suop5sj+QBAACWAwMzA/TEyJN07+B36HMH/p2eGn2KMuZvNOnyjZSlG01F/X7eQUNDL0zfdH5JVpWtJJRznVR60fU0/Z3vUnFkxGZPP3IvfSkVR0do9okn6YWn91ChULAXupIXxjjnLnTZOFkX5XydG68X3NRzdZnOTuq87TYqP72D6OgR+ZOgnSHjKwsZ8Dw2XCTKfaupdNmVNPftb1F5Wm9DyFPyn755pz5JQWgrJzL8pvnKZPDmU6tWU8s119Lk179BpelpqeSO2X9uTch8/Arjqj5nmaXXehvT9nNpsGMDXfWqh1Wb93Xn1bNs0rXbzH9n9u1u7vMX0Q6OpOl7e1ro4d2tJpaJLHS8BzT0qdMF2kGl1HepUB6kDe0b6fVb7qRb+l9BV626krbkzrZVAAAA9cdMcYaeG99JDw09TF8+/FVz/vgFyWfoYnPu+DJK03qj6vfzDnp+jQtlC8fuD3+X9nz4O1Yx6vd9KE6/fsPdlwUXynbTa1/5dxIr6r+/E+nYijIO2HZoJM0naskVZYODk3Wbn9EoGhfKFodv3PAHdTn+DtDVdZGeoWLqq+YkZ4zeds6b6RfO/3m6fNVlvgAMBoNPMX/l8Nfoz579C/rakW+YE52zzQnPa8yJD5/wKFy5AzQ0tMdy6Iffm6ez11hd5hVWvqIZNfHt7654EU1985tUnJgwn5d9/eR+hdKJ9YnZVS9Md95yCxUOH6a5Z56hpx/faS9w6S8Yuota/FmSF770wljlxa/KC2w8j672kBqbd3WdN91E6WwL0eOPmHej788GSqZGWUj0or+P9g4qXnsD5R9+iErHh90B8VwF/H7cca464KTjK0elVvOFsuto4qtfo/KMvWBn36+Q6Zglw7GQ89WIPE1LPsyJ4pdp5Usup93DLfStf3yYrtue9xfEojdmAimsrv/6ng766292GKFwZQ7Q0MutiWZpjr5oziGfokt6L6Ffu/id9J+23q2FbgAYDAafQj40c5j+5rn/RR98+o9NgqiVbjPnjteL7eDKHaDro3GhbOHgFWV8sawex9+h0XRyRdlrXvmRus6/EG1OfTzCIkaj6STqPX+jaWBhqPfxh46DdZ7uN6c6/0IX9JxFX37l/6X/ff3f0BWrLjeeceVVyXryX5l3DF/6irxj+NJX5B3Dl74i7/hM8X9o4630xZs/Tx+6/q8omx6kfOpjVKSd+sPLwJTHAB0HdBzQcSxG7x/2Wf7vNERT6oze1rWcz5vPZ7SUKNeqT8zcL1ynslnzl7OCatPY4lhY3oHbNC0Z8aMCS1KhPdu82Xkky4aAA19X2LuXUn2riDpy6qktY6XZEZHBPQ8MULOesbc5zHWYmdz8AYcxM4/jl2UT8CvgKK0sMY+2LEYly5VDAVdachbXiXS9NRhSIC+JmaXCxpKTgGPLHLTnaHN2TFaRnbWKT+OtbTplW2wpqf+/15Tofb+0kbq79M+wK3OAjgM6jqVqfv5YPvVxuUj23y/7LXrstQ/ST277Cfvn3lTLq5LhS1+Rdwxf+oq8Y/jSV+Qdw0/R5o5N9L4r30NP/vBj9JpNr6Y5+irl6Uv2J5fClMcAHcdSNbAw1Pv4N5pOot7zL0THLpQBAADMhzx917Rv0I+ffSc98Op76eZ1LzcnP2YrSy+X4KsxfOkr8o7hS1+Rdwxf+oq8Y/jSR/rt299C9/3QN+n87nNolj4du1gGAMCpw/07k6cfTY4We6Fszj4f0fzMicHpU8yp1la5eMeafx4mffn56HrJmTisi+DruONIlL4S8HX5w4eICgWi9f2aYIOJfzbLz2dNRcZSwSu42nV1lH0XEQvCXbi4il2tTKAHiQMfhzlGSrlcKgpL2jQhx9IzOBHG8pKYmXt3nKLBSeRyVBwf19jO5cqqlSfRds52evtPn0t/9T/OtRkAODUo0RAVUp+mlvQY/evLPk2/ddlvyB9a/+deRFWGL31F3jF86SvyjuFLX5F3DF960ed3n0efe9ln6Zcv+iUq0KM0R/9uf4IBAHCmIu2vmzULO9Ra36wMLA61Hl/wQrhAT8gzye7a8gb65Es+Qe3p9liJ+w0daGho6NOtL++7jL50y+foop6LKJ/6NyrRgDfBYPAp4fueywivGLR3UFmeR2U28xHlt5WZk3pedq2OusUe40I+8vjwm5cW6LuzrCkdz4G8xFOIqUpCHWtLJWndirri4CCl1qyzCZ/XOTi2xdKWiNkZSuc6o32ErLFlJmF+H5YlF7AYnsNYqoSZLPPG6bQ97uWykI6Rl/rMLiGsscuZl1bYnMwvwpmuwqCtje+jSaXJyajG1c/fuMxzZvUqyk9O0CtfsY4uONccO4HuAwxePi5SwfwdLJWaon9/xb/RD29+rcmafFACDQ0N3Sj6A1e9n9516X+jAn1f/t0rZoKXgYGFodbj2uzsUGv98nBaLqML5Jq6sKLxdBz1n7+xNLBQnPh4Qi9Wl2nYnOh8iW5cewN94sa/lxL5LRz+BwIugoaGhm4wval9I/3jTR+l1nSG5uhLYmmBMrSyAhpaWVEffd9Oov1DNuMsi4RsCr/U1U3FsTFWovlTal2gT8im1Vm720GWCgWam82bvBrKXCHVdtNU+POSc1rHsZgVdRJLAXvi2lhIagpHjhD19BBls6JjTersONM4VO2RkFIZIvRTMzNy60U7nSLgMKVN34NGTJ514jhzxHHI3NsK7dytF0v6rDD5PPyS5sfofM5QT1hH2TSzNk4wuSIJc3xLS7OriQnTS0bqtEBZxsaYLc8tq1fT4FM/oKmRMXrb3RvsLNpLvWUFNLSyYvF6jv6DCuUj9PEb/45etu4lUqJ/LjmQEmhoaOiG0u++7LfordvfLHdSKtKzYmmBMrSyYqkaWBjqffwbT8dR//kXomMryjRqXB1H/edvLA0sFCc+ntCL1XN0D5XKefrza/9Ebdv4t1ShoaGhG1Vf1ncp/fk1f0wlOkAFut+ajPr9fFRAQysroJ12zynj/zxDJGRz+F3dVBodZSWaP6XWBfoUczprnzlVLFJbeytdcd1FdNk1F9ClL7qALrn6fLr4yvPo4ivOo3Mu3ELbLziLNm/tp3Ub1lDf6h7KdbVTqxmfbc3KHOlsljK5TjOrmS/ajwSS047BCXaFpKY0aFftrlkrWpr1FVEQjQmRkEG1IvRTM1OU6shpzjSxLMvcsnEcZzZlvwFLzK7laIzEVVhM06U5MKfS5rgLJK9WOIf2zmCpzCH3kuLNjmGfSwSuTp79RlSa5uez2aQUcawsnyfBrmU6zbHKZGh6aJBGdj5Jb7pjPXXleEUc1zJMnWUFNLSyYnG6SM+bv3c9Lrcy41v2S9I2+XMKDQ0N3aD6L6/7U9redQ4VU9+UtJrK0MqKpWpgYaj38W88HUf951+Ijq0oaw52qLW+WRlYHGo9vuBauEi7TXuGfvPS/0aX915K8ks39jdvqjH86nn4yvCr5+ErL4f/lu0/RT+04VYqpfhCmX22EBtgMHjZecU8pyyblVvgleyKMkUDcEZvAVjmZ4SZQ93alq1o2dYW6uzqkNa3upvW9q+iDWeto7O3b6RtF5xFW8/bTFsvPY/OvvsNtOmNd1JLX69MbX6iymZfcfDPW2EOy1Sam6PS0JBcKHM/h9nnWBEF1rdiMeALRvxcNvvMuBA6rZ286k5cznthJub6Eg9rpNJ2RZnbB5NpQo6lZ3DCJiW2oSrTOOGqA9NA/Fwnlfj5ZC4f+PPDF2d6zPdpMHN8iI4//6z5Y5yhH75trXgKMLj+nKf7aEP7RnrfFe8xf7zNn2+TTv79LGT41fPwleFXz8NXrrffmmql913+36lQHqQCPRz9XAPXm4GFodbj2uzsUGv98rBdUdYsLUQ1fyU1YOGodhzRltIK9Bi1ZzrkNwL5N2zkl27sb95UY/jV8/CV4VfPw1deLv8dF/0iFcvT8vNMkmhoaKekrZTnlJW7eoT5Qpn+bOGfN6eWXQt1yl4s4pVNRplIfamx8Nr5MjSmM1vOpnI+T1OPPEqrrrtWLBnn6rlclUSclMjVmVYaOEqp1au13vq6X4Zn9a1cDGZ4ZZU5gc3leDaZTPYTcCzHxZa5l3TEYsUad44l5irL8rkkrxfK4vuVF0tllxDW2OXMS1uUs3M4UzvxeUVZcXxcfKmfl33jznGmr0eeT1acmzNtlsYO7KXXv241m2hoy9KKtJdKtJ9++eJfpJZ0i/lj6P+sckk1hl89D18ZfvU8fOXl8N+49fV03ZprqZTCuePyNGDhqHYcV2JzqOaduiYrynhrBo6j0l9ZDCwU1Y8jeLFcomlzsvMUvXX7T1JXS5f9jRs0NDS05mqv7L+ZLu+73Pw82xH9fAODwcvP35XnlKXkv8MQTae7zN+B5uaoPD1tPE6YT8iBcL11dXYtpu2KMioU5B96TFJ8rRHHa/udiCWe06b1rab8kaOUP3iYWnp7KJ3rjMZJPddybMdoLGRrylQYGJBnppV7+zQnvq03TUOt1bzHQnTKXijj2y/KXtgLm82JZ3vHkmVbU545cC00TAtG6sbF6RQV80WNeV92UpVcpSPEiwz1hNlnT2JmbZxgckUSd3RQaWJSZ7SelJrt2Yke+vLQZvrooQvoI/vPo38/3E9PHjfHxY01Ld3TS9PD+rBATo3sfp5ecsMa6uvNyBw6ExhcPy7Sk5Qy29u2v9n8OTRZNDQ0tCZsb93+U7KqrEh7op9v4PowsBhUHseVxtocKv1TybKijDdlRjVuDD+OSt/rJDejDywUlcfVMUfV8o7hV8uX6QWJbt/8oywVYHCtPPSH1P6pP6QHnQaDTyPfcdaPmBOdQ0bwrdNO/vMPvmP48Jfm83PK5Dd0AzSb5hVl/HwyzrOl7NrJNXe1a5mgqk5yim8JaSDPyuK8geT5G1CpWmLuNLalApmPn782MSElhcOHqfO87VypnryUFRxIxs6ldeWpSTM4T6nuHus62HqlqD7EgjTfZjKfJ+IVZZy3zcWyb8uysUyyaSa0rDk1+OVZNvYTTOmMOeYlnYTBxGOkcRVL11uDIQXykphZKmwsOQk4No1v8djOF8rMd2PrmA/MdtK/DF9C3yteSENtZ1Fr9ypq6+6j4Zb19PDkZvr47k30wlhW5kr3dMttFxk8emzfHnMIi/SaW9byjJLlvjrDh79wn1K76UfP+mHqyfaIdGkwWPkofeq+Hrp739Ea65eZpz5Dd3+qhz7APyZrqQefMXzH2bcLl2iXTZ385x98xyf2gcUgPI4cVR7XZvfjqPQ9c7S8vqwoc417jZW9bgw/jvrP31g+sFDEj99Sjz/8Ih2UHxKvWP+yMA1uMn5wRw+1/7Np5iQg4u9+xpymqC9YLnaotd7w0X0/Zd7nT9GnplQLwOAl8svXvVTCkvm5xgm1uNfmtTJ8Zfjwl+rfv1NEc6O3T57B5T/hwthhKbqq51aU8YWyslbIb0IH1fqb0RJJ49iWCsoZvdhWmpkRLgwPU/umTTKHzKOvBMRRT+bXIr6YSN09zrXgmGs0jOqXgukpSuU6TeDmie/RQXK8z0hYxIqdUA5nklheyhFSKSqX+EKZTTLZEnsoTOOewYkwlpfEzNzLMZFUZCo6ckJ6oYxRpvFCC3175gIqdq6ltp4+uUDWalq2q4eynd3Uws80a+2krx9dS8fmspTp7IwulDFKhTxNHTlAr3slP7vMvQOG23Go4cNfmF+mISqUR+ml614i2qbBDckP0QeS54eG5QJWTeOXwA611gsfpU9917zH+8w5bE31C2CHWuvBZwSva11LV/ZdQUXarwljqMW9Nq+V4Suf3AcWjnoe/8b046j//AvxZUWZa3oNrXF1HCevb24NLBQLO77QJ9NlOkYX914s95eXFAPcnHz239HeN43RzN2mvWknfYx+hrbyaq9axy+WHWqtN9y/5R/M+/wHehP/+1AN9WBwLXx532USlkh/ZfRkP/+goaHro+/b2dzPKSv3rSJqaaHC0SPyiWTVj7B+woXreVjDyrxl12Kan1FWLEic5tVHJpLVSaY5qJZIGscx3aLfT5lXahkUj49Qdg0/a8x4rl4c1RraiD2ObVHZXigL9y+GaZLiMle/BKT4QllnJ88q80Yc7YNZcyFLbAuizcXMQTOpCpbYEK/0kgtlnOe0q5PYsksIa+xy5qUVNuf36UxbIRcDzXGdnFTLdDtmN1JLZy/levtozfo+Wr/B8Loe6urroWyui7IdndTS3kEtbe306PFuGT8zclzYYfzgfrrpxebPtexH3kEUQ0MvRZdo2LD/O5ekwY3LBnfeuNOeH5p2+98R3X8+tT/1kJq1zrNQdqi1Xrif3vQS8x5veiP111S/AHaotR58xjD/LEul+OcaJ0/88w96IRpYOE50PFeG1uZw8vrl1LKiTK+dNT7HUemvLAYWiurHEbxYTqUm6azcZs2YlLL00E2lFV6vp7uu+ju6g95H9xyT7EnGL1aH+13MeGjo+um+1j7KZfiZNuPuTyUYDD4FfN9zRPv8ghYBuyH4v9EQjeSX166j8sQElSd5mTMnrOuKFqznYYcqfqwk0HyhrFwoio6OudkfNwfVEknjOKb5CgyDL/yYlKwsMwUtq+yzxriefY7tGI2FbA0HZixfKOvooLJb6Wagnp0nrA+QkDJ3iKRP09NyoUzSpnMca9wl2TT7zqNNX5blDbLNnZTF2YDDVCZNpQIfLzXcOCHTcVbndPvgpp6wjrJpZm2cYHJF5Zz5f9bsLJX4VpMGs8UU7abN1NbZRWvXdVF/f6+0tWu7qa8vR7nODsq0tlG6pVX+bOw63kIjx6do2l4ok6kNRvftpvb2Frrxuh6j5B2AwXVh/TsW0eYOuyrVWMrSQzeYZoS63PFG+tMbbyd64lv0gOSXNv+8OtrvIsfXW7sjsdjx0CtWb8ptomJ50ij+/7DmwUtnYDGoPI4rjbU5VPqnkmVFmbty1ugcR6W/shhYKKofR/BimahAnZlclHEedLNpB6fNlttKV5vM45MDqof+kDo+9Wb69NTD9Aef6jVxD3Xc91myLg3s+ymT47xtO/g3DdXTzWDoj4IaM/5r7+Os96c+Sz9hvD8Y4n0YP5rrYfVtZUrm4VsvWm22iv0n/BQ9ZN+3a/xstNDnW1CavPlMD+17s/Hd/vkzqx9+npo+b6Cgm0N3tPAyRV414bJgMPhU8IFhXu3kwdkQ7lqNQyP55TXrqHDkiBbxax5O+ovV1ZipqubVYMWipjVr0iZiz0K1RNI49tr0aeVyyZwcakgFXlW2SleVcU7S1tOE7k3nsvszL1lRxujm2/op1IvvV0d7aN4jISv96UlZ5ZdqaxVTfO745VhFjGVzMbOrTbAJhCQXsDSuyWSoVPDPhXOmDLdjfe8Mlsocci8p3uwY9rlEwJzLyW0XZZ8GR/KdlMm2Uld3O61e00X9G3ppvWmrTNzd004duVa5SJY2xyadNscnnaGdOw6YqfjE3+3XfL9TkzQ7OkK3vGS1UfIOwOA6sa5M7WyxKz5FaQTdeFrhNWf6O680/fdpr5wf8fPE+DzoYXNu5M+f/mDI1SfPv5LnZ4wB+jTPIT6Pv4Dett/tlWFYzv3MOdkQPy/Mz/cTfBtIW8nbQzvM+OD8lMfL+V00huf/I/OuvO/OPyM/MV7nTzLvy82nY/Uzez86Xx2Kz3/3Pj97VB+dI9v5ovdg/WiDbjTN/xamMP/Pj7LgpTKwGFQex5XG2hwq/VPJ9sxV/wKtV9A00r6xdBL1nr/RNLAw1Pv4n+k6zKvnIt2gQ9XImpHwp/bQYyZzVed6m2F8nt76hW/RzW8apWluN72B2H3AnJRsPXA77XH5Nz1HHx291Zw0PWjHlukIX1j62vfpoz/qaky79XdkVlejEdF7vhbs401fpfc8eSu9ad+RWKVCFc+99f4r6ZvRmFHacyPRnmlX/yB94FO30nsu+2rgf59uNicv/zzlauys+3+G/if9UWyet37hD+W3Jt3+avm8vPn3qxt0qBpTK5Q1p5H20Apo7aEV9dH3Nelzysp8wSfbSkW+UMafRV7V2Yol66osqNSpTAuVi/oP0y4vvwnNvwZtoVoiaRx7zTGfFEqgbMC3+suuWcXVUuYdC55TmEO7P/MqzUzr89Jy7h+WDMSL79eOXjRSU7q6L/mcMu1DruJJaPNxO4YqKTvU9Oa4p4p5jSWnTcix9AxO2KTENlRlGif8u7aBoj1HJfNdOEwVW0yfopZMmjo6WmnNum5avaZT4mxLxt5+00HnPT5gL14mMH5wH736FX0Sx96r9NAKaO0XphWc1S2MeYMO1enVCq95Ozr5fZO7krbmVAvMudovBudP/22NcaY+TW8y5190qztfMu3WK+ltXwjPvx6kP/jU+fTWXn+OJudVZ/u9asQw56HPlunPXN2PfpjK959PfzDkKl2dV3zOdvPoh4NztlH65mXfp91u/+Y93v2Fn6Hyjc95v1cfPyAr5szm9+81z/uKJ3/Hn3ua9/LY13qqnK9+nt5m3vOfBnV868oPBO9Znr39NYqdx8p7uO/TdERm8bW8QYeqEbSDxj4Hrf1iNbAY1O/4N6b2rKj3/AvR9m/UepKkV9A00r6xdBL1nr/RNLAw1Pv4n+na8/y1SYbfmL7LKz9Ef/CFn6XPnf1hevsaV8e4nT76o79GLxZt81OfpT958nb62FV3Ub9mTOunuy/8HXPSdK/8xh7P99H7P0933PhH9Kacm0/ZIdTvufVX6QarU2ZvN19G9LnxfaJ1fg8et2f880Rnb6NtNsPYsOUfzEma+kf3/QW9h8zJzKXXB/4fm5Mwc/Ky+2HR0f7P/jv6sy39kd6w9g66w/7WpCDxebXOf15epcZw45PMkfbwq/Hp9xnJHLT20Apo7eur73+uOZ9TxrddpLlZKo+Py2fSlT8NxPyMskJR9QmfUcZaG4dq25xdURZd9DEoTkxQdvUqrtZ6yYqSiJMSscexNK0r820RO4ILZWJYnwt4Fg0WD74gZ95vqqubZ9ON95Fk3o/s1zOH3DFJTjv1xAqYi6swr2bjFWXxvLzEFnYJYY1dzry0RTk7hzO1I+rslAtl7HFbl52hUjFPs7MFmpnJ09TkrDkUecrPFSifL1KBb8NZirdVbTM6VwL8nLJzz+mkjf2t+h4EytDQisVpxYlrkwz/9PgeNj/0R7TNnNPdeeNbYueDdNnX6J+D8yfmB3ebc0mT5/OxaPyat8j5178dGxA9EJ2j8Wx+PjtrpBWJ86/cy+nHzyZ6bFJXlTHi447SXv49gN6tZozzzZnlpZ+gu+356EP8Hs357p9t2SBa/a+a9/Q++pN9R0WHED31GfrTJ+Pnq5S7i/7sxtvpc/d/wpwLuv0zzLnzVW/0+8+9gn7MvGe+Y4toeljOkd9za/z8+obtf0d37P88fcudf7rx8zD80+0zkjlo7RergcWgfse/MbVnRb3nX4g2Z1V83Sy8gta4Oomkv9I0sDAkjx/00jTH0huSrEhlp5MMv3re8WnxOb3/Z2hbdMuH22T11dSNb5QVY1rnEIxjnt5Dn5OVZu7WE8rt9raKUje1V1en5fjUJj6eEWmV8fmjvGrPHKl/ff/vxN7/B47ZcXb8brmQtpW2BuP5OWxb+c5Po3voiK0TO/I926zuN/F52xOft9r4kOFXzzs+/b7GnsWBhoZeZv3dnebHePCcsnDFE6NRNV8o49Vk+knc5wnVwnU9N74FYLlY1Pcr79lkDas2kjNOS4JjzoljWwAr+XZ/2b7wGWXccW/HSCxka7iJIxfKyu3tktPSwOcCk3TaQWoDnFTz89TMfqiLn1NmN57TbPpSjnYSsaZtaFkjHS+BZxnnmXOMlDnurZTXvKuztptHeomdoZ4w++xJzKyNE0xS0dqmt3jk5+Nx3mxrW2coPzVJYyPjdOTwCO3ZPUh79xyjgYExGjlu8mPTVJid0TY3S0XT1raO2Tl1v8ImmDh6iIrmz84rX7Za5rbvRH1o6CVohVFGSlbScZ1k+NXzjpfLZ3zu/gti53fvftUofXKLOUN0dVIVH1emI7SbL1I9eauMi8Z/6ny5raKrc+do26JxjmXKSDt437Ek1XFaldH99Iqzbjfv4Ta7/zfrSjapYz6q71EupIV5837O5l/S3Ktap/S+Oa/9N7qdtna4enFpfU5vSbl7KsxzrH00XpVqeweX93wtcV75hZ8x55u+Lja+CsOvnne8rD7bWhGwd6AXp4HFYb7juVI0xyGS/qnUab1uFl5Ba1ydRNJfaRpYGJLHD3ppmmPprQQ3KXN3dvy2FNOXXl9R51CZD249EWu/an87TpEcV8FKC8+v/VXd349+mO4w+ne/zidkvfTBYesrnXxepYo6B69P8nkT48FNxvZPQvLnHTQ09PLq+3bam1gY6OoZj0bU5c4uorZ2KhzR3zrnnHweywvWbluqDja+kOJWlLF07128UEvMncaqLarEpakpSmWzlGlvl1w4nwaSsXPxnOpzTlaUmXFRTnwep772PseQ2gC16NTUBKU6uzWW+bTx9I5NIOSZXxrruASbJrUhc71lyZlILlDyM8pUKakttSpdbw2GFMhLYmapsLHkJDDo5NtKmuM5YVeU2boXt++i2bHjNHBoiHa/MCgXyw7uH6bBgTGamxinwvQEFWemTJumV9y8haaODURzuqlZ8wXWycMH6LU398rc9p2oDw29BO0Q/bkDNzTfEdyWkNtvrNV8VKdUOd605FjXZPWZG2iRHO8mXkpd/5ZP6D7ldv+fp7d9oZdyn34zfWqqen3IDk4m/ZrzSvNqvWNL5TGaftMn6E25YBy4MVnJsEbJn3fQi9PA4jDf8VwpmuMQSf9UajlrjV9Ba1xOotZxzcrAwlDrcQXXxi6S33K1DN2EWtQJfKu5ssLv2Ep30Pvom0OV9ZHu2EJXhzrwYyxuPM+RqkAH9THd8Qb6pDmxmLrrWbm3/XuO8DPDiLZ2/SjR/r20Ozbe/xbh+mg+RTSfrXeO6Fo+L3TTamHJgsHgU833BxfKmgHl/o2yaqk0bH8rQz/K4tmhqg6SJ9MC1XLrRXlGmff1Z19CR3NobH8cKkqW9RxRUJrUZ4BlerplWFiusHuQuXhOLZLcjBmby+k+Ip8N60vvc4tFim9J2G3e30ngduN359570jFcLRdjRTmdiR93JtOEHEvP4EQYy0tiZu71O2MRmeYYdormi5Y+WaaLuido/ew+mho6SqNHj9DQoSM0MjBA0yPHaGZ0mGbHR+WCWX9Xnl583QZZVTYfxg/soxuuW0Xu0WbuPYPBS2EGR/JzwTJ042oTnLhe+qTfL3fu+NyBe+lIsj7Q27pv56iqb4K4dr3Vrp7rYtqoUEv9ml8154cjxM++fjd9nv7PsaMmv562ubuLxOr30O79RHd0bVEtswW+Oa+9w8zBzzkTzfMbPjLxuOmvpK0dif3bGbxWiM5tpaui92N9Ox90k2hR4HozsDjUenyblTkKUeu45WD5q3H8ClrjchK1jmtWBhaGWo8ruDZ2kf4mrTJ0E2pRJ/Ct5soKP/dGeudlfMuIN9Onp0P/Ifrg/Z8lvgN7KqXPGfvdr/+xyQb+13/PcDCfjA40z88sKtBBPUcPPdVHfzAU+vtoD5/gdG8TvWHrL8q95m956mHr83PLfpXevv92+uh2Xjnn5lNE2s7nHNE1fd74eOjm0cKSBYPBp5r3D2ncFGhpofKGTVTYu8e8c3PSZN66/AhZNjZHaDGaV5QViy4pTX72iVaolkgax6Hm00FBMEZu5zg7Ry09PVovWTPWRpyUiD2ObRHnylPTROkMpbItcZ/LhbjjHMdLwNSEfH5eveb2zZD9JZl9YQkillgGB2zIBGonmT3uWuyKMkkwSRG/tI7ZJYQ1djnz0gqbC9+bmqbL5eS2i/rnT2sdv3rjMbo6u4umjh0x7ShNDw3QzPFBmuULZWPH6dq+YfrJ159P08NDpt7PHzW7z7H9e6m9PUM3Xsv/msx7lZ2DwUtiBkf8Z0xi+TMH3ajaBCeul77Sv2H7h+mO/T9L24PzL8bA/rfQB+15W//a203Nf6Z38PPAIv/XzDmaCRLzmUh7q10918W0UaoH6FP3Jc7XpvYSX866upNXtKXoxfIe4/t/6Kkfot+l36F3bvXPLRO2fip3l5wL8nmtPI/M5FNTn6F3PPAFuuPGN9MNrMN6O4PXCtXX09vl2WYX0AeHrS/jj9Kn7w/mt+x96IbRosD1ZmBxqPX4NitzFKLWccvBFSvKOAp1kk+nn0S1Oo6q5R03kw8sDMnjV43h1+67jPxmDVrzNvddVvOCNt/3ff0lI7T7hrLczkLvQ8/tNnps88tktZarueey99HNkf8tesWrfju+X7PJO3E6yks2lgvfy/X9v03v+Vpi3zc8S588m++fzzXX0a/f9RV6t9yjXmu23X8F3XPXx+ku/q0/N2+V/WhW2eVq+bxozdnsn4B52f1pcDrJ8OHDX7z/3Z0p2mefU6ZZD/ufZ4TT7Zc2niXJ/L79Wmu6RmR+VlaZVzYZoad25kib9+1+3jFUSySN41ATP+9LYGaQvIHh4tQkZbq7tF5y/C1yxAkbSchzciAvKs/OcDWVs62RJ75xHbtYJCvLDglZ1U9NjKvo0lVlrkTmDZgHy3juNPBsGvcx1kDLJQjYBqmWLJXzcy5hSIuETMdZ6SV2hnrCOsqmmbVxgkkqOvRCmZNJvnL1NP0/5+6nW/v20qXZ/XRJ9hDdtu4o/cIVo3T95iKlu7tp+rj9D24eFKYmaGJkgm66rlfm5ffCqMbw4dfqM9yfabQGb/plVebDpt9oZZ7v9JE4/3LnYK9YHdT86N8SyXPQ1P+l8i/Q359duV/9ExTPVbw/1lHNenrF5sT52hd+lq561Qj9+gn2f/Po39Luu36Fro/mtLM6bVrFea2d1597aqvlPa8/++M0Zc6J4+eyF9Dbel/m3wNa4zb9Rk/IHMFfmA8sDsnjyFzt+Darz1GIpF+Nl8tP5ei3VTU40ukUjRffaxXR1vUfoGODk1atLPS9aAtd/dd3WwXUintu+KCNgHpgLvXX9CObX0b/9JKPGcX/BBP+qHA6yQ7w4cOH31j+2f92Ho3ObqJW4lvBAABwqvGnby7Qm25wF2YaFKk0FV/8EiofOkizTz3FCdOq/bypNzvUrttueSUV9++nwvM7qSWboUwmHf0WtINqtx/WQgaaT+U6qXjNi2ni3u9Qwd1m0qDz+uuoWCjQ6HfvozT/hrU5D+O50mmzDxO7nGgXs9/dTdmXvIzo8UeIRkfsXg2MF5CMWSqKN7yMygf2U3nX83Zi/znnA7t7J1rp8GSWCuaP4obcHJ3Xmz/BsHBec7yYb34VTT/2OOUPHNBhppNjwGH0OQMWX5SwhkF9mJPAhDe9nPJ799Hcc88Z5ffv2SGpjcpkqOs1r6ED372HRnftTLgG0TRlOuulr6Rd4+vo9rfsEAsAloICPURz9BV6/vanaVPHRpOZ789rkh3gw4cPv3H8Dz71R/SeJ95HHfSrRrWbHFAP8L918795A7Vj94e/S3tMW8l4w92X08c+eZfE996zm177yo9IfDpgV5QpGp2TqHVcszKwMNR6XMG1scIoTpiTaWXXnE4yfPjw4Tud5NPsc6gEBoNPA9/XBM8pK2/YKLdenNu1y2Xs+19u5kj7WrU8o6yQjzTD/Ra0g2qJpMmPw0irL3BXaCxK09OU6cxJma3w4DmFdbzM4ep4pRVbvNrN1kne9g4yJJ5aMFLjY0Td3X5+N180cZyfON5Ff/nCufTvx7bRo9Nn0eNTG+iLRzbSn/xgPd13sDVZbhFPlltNHfPsrOmsx2SakGPpGZywSYltqMo0Trhqa/ItNc1+SpMTmhMk2SG2J0Gmp0d4dlhXlPE3675d4eirTtHU4BG6/JIeasnITR4FYPBSWBD9h+DYNaeTDB8+fPhOJ/k0+hYuAteHgcWh1uPbrJxEreOWg+0zyhSNzknUOq5ZGVgYaj2u4No4AifQ0NDQmr15AoPBp4EPNPxzylJU2ryFygNH9UKIrPbhVT5LZD4C9dAhp80pnNx6sSg6leJTOmZtDl5r41Btq91pYTCGoRfKOrVeMlxra0xSIvY4lqZ15XyBHUplWzWvZVHvIPXx1MIxMU6p3j7Zj8xv9+eYe9mP2b56tJ/un95O7b2rqb1nNbX19FFbdx+1dvVQtrObHhpeQ//wVE5qdbzdXMzMzV0om5sTLbXC8mKp7BLCGruceWmLcnYOZ3Z2mc58B5OTmnd+wGGL5rCc6emlcqlEs2MjRuoYbrIKMIzTKZoePErZbJquvKxLds0Ag5fCAhZoaGhozd4sXAiuDwOLQ63Ht1k5iVrHLQen+fSoWVqIav5KasDCUe04oi2+ObjfRna/NQwNDQ3djFp+nqGhoZ22xs8p2z+Uiv57dGgUXV67jqi9nfK8moxz9Wr86euhQ+YLZYw8ryjzef4s8nlYcsZpSbifh+JYLULhQpMrTc9Q2hwLvtmgqZKccBQLyXht4ugzzwoFKre0aF5HaLGJpE6ajlNL2aFWLSvKeFWdeZ8K3Z9jaaZ7dryT9pQ3UmtXL+V6e6l7dS919vXKBbJsrota2nOUMXMM5HP07X0ZO95uZoKIebKsXigrzc6qdnkNJTYkY8SLDPWE2WdPYmZtnGDi55MxSmNjUqv5wLdx1GRSz+mebsqPjdpcJVIubXh25DjlZ/N0/Yt6ZF9oaEttDPdnmv8I+hgaGhq6ubQDh2j1a8DiUO1YrqSWRLWaU9XSfLWsWVqIav5KasDCUe04oi2+efBvnzpWFxoaGrrZtOvR0NBOX+PbL+p/mx6NostbthGNjVJpdFRzptWLXVuqdi2Vzep75hVlkhMpMW8xLTF3GqtWyFgHF5pceXpawkx3J4/yngSSsXPxnOpzTsby7RdbsrbKgms4w3VaqOM4suxQq07xxSDm3lWyJ94fWxHbtmO6n1o7u2nV2l7asLGPNmzoo/Xre2jN2m5qy3VStj1HLa3tlGlto/uPdFC5rO+tWqNWe9zn+BaTRjOY7L6kTqTrrcGQAnlJzCwVNpYcB7kclWdmKFXmy5SctjXWj2tJxDjd20vTw8ckPlFzK8xmjh2ml16nK8rQ0JbaGPznipWQMDQ0NHQzaoVm0OrVgMWh2rFcSS2JajWnqsmvI/IVs2bgJGod16wMLAy1Hldwbeyhv1UDBoPBzcwM7cFg8Oni+3fy6UfjobzpbCrnOqn43LOqpXdsfo4IL1LLzyDFibUdN58OmVdSMQqFoJ5DHpPQIrnTOCj3ceJrKc3MCGc6csFsDu598XiekwN5aTKfp1S2xUSaEciOwv3bcUtBIU80NUXU1yfSTuv3aoLh2Swdoz7KdeVozZou6t/QS+s39Ejc09tBnV1tlM62Upov7GVaKJXO0LPH7AxuomhCA15RVixqcwaTaUKOpWdwIozlJTEz9/qdsVAzlcvJbRcdtH5+ZoS5dHc3zY4M25N9/WJjX68TlqcHjtKLruidd34weCHM0P+29c82GAwGNy8rXASuDwOLQ63Ht1k5iVrHLQenw79CNzrHUfu45mRgoajtuIJr5RD6mzUSWIK2gSVoG1iCtoElaBtYOk3awGbAYPBp4k89wLe2azBks1Taup1SR49QYdheYDCdZ33vi9ami7Tk5tOW59MBpzP+QpnkTZMRUaxQLZE0jmOaQ4GPGCW+AGWQyXVYh2ttDc8pzCHPyYG8NMkXkfiik+5IITHXaiizhf4iwavKUr29MqnuwjK/DxMMzLbJsWrvyFJPb47W9/dK6+nLUS7XRm1tWeNnKJXmlY662vHwuH1fPEXIjI6cOTa82o6Tmg0/vw1Ns4Gwxi5nXlphczxe57BmRyeV+UKZpLSOu4h1uGXVrmW6uuS2nLPHzZ9j+3l05VhaOHxOmWv8nLLu7ixdeA7f8tHkTA8GL44tzJ8rJZuFtgRtA0vQNrAEbQNLDaINbAZcJwYWh5Md12bnJE5Wv5ycLhNvfNWs8TlENX8lMbBw1HJcwbVzCP6NGslYDrUSfPiq4cNvWJ9jabYODAafFt43ZIIA9j/VCAm57H5p23nCc888Lab4SdZw6XqR7BpD4qy/UCZ5+ZDm6Brm5qBaImkcx7UIhQst8+0F0x0dKnkeiUyTWEjGyxz6inw+y0y+D85bMlV2nHhCERLyhH5q9DhRZ5dc7FQ4l7lMuUxebk9ZKqpua2+h9vasXDDi/ZdKJWllaabOtM6s30M4m8Acj+LkhNEmE71/jlVyzFnnR3XWE9ZRNs2sjRNMfOvFktmH1konXsQMS5G2SPf0CM8MJ/4jiwYYmFD+McCmZoYG5RhcJ88pkz2CwYtkC/vn0v33wFr8QCvBh68aPvyG9TmWZuvAS2ZgcTjZcW12TuJk9cvJab5exn9ZbgYOUc1fSQwsHLUcV3DtnITLJNkBfnV2gF+dHeBXZwf41dlhIX61n3dgMPjU8f075c7vEYJf2hUk5LL65a5uKvdvoNTe3VSanZViqQ+ZC023ZC18Mj/J6nNtmE/ZWy+WiwXV8tRpw1wvEytUSyRN5om06e04+YchGzrm2y+m3Yoy53HAc3Ikod2fvtSXufg71gxDa+L711mc9kjIE/qp43pBKLV2Hfemll1l3rZ0zlFxbobGx6fp+PEpOnTgOB05NEKjo1M0OTFL01N5KhW4FaSVTdu+2swg4y2bQNkE7e1UmpySucVgSKHKaFzUO4OlMofcS4o3O4b9VEeHrAgrT0zavPWDxsVJNoHqnh4qTE2Zz5GP6rXp6jJuaT77Z7aNv6/ZoWP04qt7eG86HRi8KK6EyyXZAX51doBfnR3gV2cH+NXZYSF+5c878GIZWBxOdlybnZM4Wf1ysjmL0Stmjt0VtGS+Efw4qtdxXy3ffD6wUMSPX3WGX7vvEFa4GmhoaOhm08raV2Pu4XsNH/5y+Z96IH6h7HSifP5FRNNTNPvCC/zWOFPJDkvRUTrQVX2LSFf3Uy12BVWhoGwhvwHNF6osVEskjWOvOebTQYkse5RnZindbleUheA5hTm0+9OXJHl1FvEFGJthaE18/3aWpcF8/tT4GNHqNUbw5JxU5pDfxiWth2lmbIQO7h+m3bsGpB06eJyODY7RxNgEFaYnqTA7RcXZadrSOUPru8wgfq88lend+5WW69TVXhyrEVlCjqVncMImJbahKtM44ffFt3aUSJ5R5rJxZsRyEirzirLZ4WP2ZF+b68OMsA2Zpo8dpRuu7TZRcm/K3FfLw4cf9xUup7GvgYaGhm42rax9NeYevte1+MDikDyOzNWOb7P6SST9arxcvn1Gmf7F2fWhbiQ/jkrf9aFuTh9YDPzx88fTH1Hfhxp+XKvSyEF1shIaGhq6ubSy9tWqVHkNP65VwYev/VJ8XlG2f1irTifKZ2+lcmcXlewtF2XFDW8J5qstS9amuXxdNN9qMJ+PtOmkcZ3UWnjtfM6JE2mBu+gTgFeUZXI5qZRaG/EgN4Wbn+eJ6ngufuaXzTDkPbg6Seu4eiA1NEi0br2uspP5uWNW/9o1I1QaP0YTpu7w/gHav8fwgWM0OnSc5sZHKT81btoE5Wem6KVbS3a8e3+e3UWs0gQ/v83mXZ2+WCq7hLDGLmde2qKcnYNjc7wZ5ZlpV2Br4sz1EQexXCgb4eeTeS98Nplj33Sl2cyxAdq0oZ3Wr20zMzGMJ5HvQw0/rlXBd5i/EhoaGrq5tOdQea0K/kJ8bcBC4Y5feDxVed3MfhJJXyviWlX9ffuMMrfp9TO/NZYO4TLO022laGAxWPzxdht0XCnkt4V5A4PB4CZm+XkmjbcT//yDhg4VdP31/mOms3D/fTqcCl3u6aPS1nModfgg5QcHg/dWuZkRsa1C83zBNp924+bVC2DKtsjt9VinXI4V13DMkjNOS4JjzomjmkNGMMYWUHl2ltId7VplclrtYi1z80ssg1RTit+VzdtcVMedeKH2WKimgaNC5bXrhWXSAPzMsVevO0QtY4docvAITR47TFNDR2l6eJCmR4doZvQ4FSZG6XXbp2nLKn12mZnENoZlfhaaQXFslN+91pmmLKHEXC29xM5QT5h99iRm1iaJjhyVxsdtkW3cnYBlH4z2Nkq1ttKsvR1lJWydQMe63MygHsOrr+iSjLyvaIMOFfSJtEJy/OeaNzAYDG5i1p9pbjvRzz/eoEM1n+YeWDhqPb5+ay6dxFLnW4rGM8oalIGFo5bjCq6dI0hoOjAYDG5qVqr28w4MBp9avv/5jOkVvKIlxLLrbCuVLr6UaGqS5nbs4LMi+77MZmpjW1JX2042pla9EJYVZfx8MvPZjGaSz2ZrYlpi7jRWbZEOboPp8raAn9mW6eBnlPEgSRlwIBk7F8+pPuckyf+wZOeIamyscIF7P5EhWLCem6XU6AilNmy0Cd2fhhqds6pE//mSY3TL/8/eeQDGUVz//3un3mXZlrvBYEroxfQktARIAiGhhdCSwI8USPJP/6WHFFJ+pEAqARJKSCEJJLRQQjVgimkGY1NdwLhbsq3e7v7z3pvZndtbSaeTbJ/E++zNfue9N7t3t9ob3dzszI5bgUm9b6KzaS06m9ehrGM93jlpI754WB/2mU73fbPvR14x7SpUup+dOSbprm67f1nbolyGthXTrW2A4AL84Dwpl7B5jldWIt3eLkVtolVUZWNRfr3mUVRXb5xA98Zm9kVT0r9Pmc27EWap7m50tLRjr7dVy655UVUdqnqwYVaqqqqqo1pFsus71XxVyY/Bjuto1yiDld+SakeUuZ6zwlafuPhYUmXo5HJcVXPXAM6alaqqquqoVpG4+k5VVXXr6iMvm9U2IrXLbqYFVITUcwvQ1tqJjo5uTp2d3ejp7kVfX59JKbmSmB/0ignR/uytqsUlSPd0s+3jroJ2sM0mrSQvtsXm3VXTPtQpxB1ppfZ+aAH2GXhftE/K8MM5jVIzU7Lymqw7A/fahk9i7Wqgflx4jy9eG9wT0Gsw2b0m9eK0XTrw5QM348sHt+HCA3tx8HYJlHC/bfaLCV6f0XR1DXqbm8VgrJJQnMQprwly+Hl+cJ6U1u74ULkEdZTx/clcOcHlfV+AdSZqapDq7kJve5s9+u6vkIn8BGA0Qery5nOxeQP220PuScevS1V1yOrBhlmpqqqqjmoVya7vVPNVJT8GO66jXaMMVn5Lqh1RNjoWH98/9hYlH/wjqMvwlwCXVVVVVR3lSuLXc7roosu2WR59pQhvbHAf0K1HevpMpMc1IPHKi9i8Opz/kTorUqk0enr60NXVa1JP0HnWbezu7l709KZMmRTSphw3o6h3gR7bQBPUedXTE/opYxLH2BbE5hwnyvs2tQTZ4rcTbk+JRk4RRWXlVIIXhuKs4TaclyA5jVIzk2JkSnkuF8AeKToCJNavBXp7AfP3da9JXldE7eujRUZT8dassg2HvWTL0Kq6Gn0bN8k+7H4I2b/1OnUOVsk7n3lICeuT5zBGURFQXoF0e5sJWB+pKxOo3c6p3U9RXR26mpuCUWL+/ciy700WJokl0d28AbvsRCPKdNEl38XDGaqqqqqjXP1aTpfhL+EBVoaCfwzH4hI9L/zYVl8q8E1qyRQ8SdOQa+37nrWAmY0/xvp1csXdWKN+v5nY77enW0vJlfsO/j+bU0aCnsRv8b5pb8f1h1xtLKq05EePoWpnXyf+s/JOPLTuYTy38Xks61iO5q5m/rFJURQlSklRCSaUT8COlTtg/4Z9cUTj4Thy0uEmknu9E6fb3bwLNnVPRSneb2xFUbY1l57di9MPppFb5lNKH1OL+9Q6RiqerqlDau/9kFi9Cq1PPc2dYrG4HeSgCbrk0OSTSZrKzvgMxRMmINkwDsnaOpNq+b5RNJ1eat1a9L3+OtDtjQRz+xsQ94SONEoOOQyp5ib0vfgiP29xcVFGEeoA8QlNyQR2TS1S+8xB630PoK9ls3FQQJ6vqLYG1UcegeZ770ff+vX8Xqk9xh0s/H5Dm9+/jRfvuTeS5eVIP/u0ezouI8pikOPm8F9v1rul4+w5+ovTPefS02YAjz6ERF9vWDBjgyxHBkHUZILnJUdFBVIHHILWh+ehb8N6DlAofF9OZUXKHsqzuLgExAyPAfkTVdVIHnQIuh97DKmNNHItHvfqo1p2xJHYvPw1NC14ylghceUzsG+0cup0TH77UdjriCewobnHBhUld3rxBHpwN146/gVMrZhsPHFnam76VNNTuHfN/Zi/4Um83PYK1nSsRWdvp4kpiqJkQv9Da0trML1yOvao3R2HTjgYx005DpPKJ1LUpNzqnaj+dPHP8d2FP0A5vmQsumhIGQnot276zVvJnaVXPcJpLHPq6Xvi2r+exvm59y/FcUf9kfPbgkQlvkW1QMFDDa+Wvu9aC9iu8SdjuKNsBvbVjrIhc//Bl9icMhJ0J36D46mj7NBr2O7va4Qj6n+p5RX87uXf40/L/4yu3i4UFxdjzpw5mD17NhoaGlBEV84qiqJE6O7uxtq1a/Hi4hfx/MLn2Te9ejo+uv3Z+PTOF6C6uGrQ+icuvv3NO2NTF3WUnShORVG2KR86uI87y7YKFRXo22t/JHq60fP4Y2jb3G4DBttRQKPK6McWVnJLNGeSlRWo3GcfFDfSDzNm+44OpDdt5JFOyYmNQFkZ53uffw7p9ev6rbdy0ZJ3HI7UmyuQWvIad1AVFcm9xlyHjENstyXZLAbrr6tHaq/90HrffehraeN40EFUWoba447B5kceRbd5LtpX0CFm8tIxJh1moS+J4r32RtK81/SCpznm4Jy1nTv6eodFSSn6DjoMWLYEideXsYv2zu/eZIL3FR6OGPwCnk6Zjr5ZO2DzbXcYm/Zj/PIQNTbl3fvJUI6zxSpZr7z1JRonIbHHXui6/z7uTI15FYFmYBw0wrDsqKOx7rGH0fbGUhuIJ2s/9sAUV1RixvEn48xPLcKD88x5qyhDpBePoxt34+UTqKNM7hnon2++OqL+q167Gn9ceg2ea5Lvf7N3mI3d99wdU6ZMMdV4BfsURVF86Hvbpk2bsHTpUjz79LPYuFn+h31wxon4xOzzcdjEQ3Oqf6LxS6ij7PkfoAJfNn7tKBsp6Ldu+s1byR3qJFt21TxrjU1O4Y6yUzlPHWXvOYoGbGwbEhXcUeZXDY64KmPbxakh1up1lM3kjrJWk8tt+9EU1xFl+ZE5oqz/4ytofLB4T+I3eN+0w3D9IdJRNhS+8/z38PMXL+P8mWeeidNPPx3vec97tHNMUZQhsWHDBtx66624/vrrce+992J8xXh8e7ev49wdPmpL5M521FHWPc12lA1c/2lc4xrf8vFDd+rDTZ/bCh1lZeXo22s/85QJpJ56Ai1rm4wzfB3SQWYsY0Zfba6U7bgjKnZ7G1CURM/ixUitXgX0dHNHiCQgWVOD5J578320euY/jvTG/DsjSt99LPoWL0Lfije4g6qoWDrKHK6jxhGaknF2ur4B6T33Qet/70Ffewf7XYcSad2JJ6DlqafR9dprvE83co46xFxnWeDnjrMEivfaB0kaRbfgGfd0XEaUxSDHRApIB+VIkJq9C9ITGpGY/xgf/yj0NO792T//IEjB9G57obunF+2PPyFe+3ozlB9Wbd6GY+ISsG7OJLfbHontZqHz3nvY514eaQb+H8hqcuJElO4/ByvvugXdmzeZ7cx53f8eMvB3N+2E0/DT36/Gb65+kyImRbd3dlQdGn8rx8MRZQuDjrJcuWPVXfjuwu/jhY2Lsc/e++AjH/0ITjzxRMyaNcuWUBRFyY2HHnoI//jHP3DVlVeho7MDH97uQ/jBXhehsbzRlsiNny7+hTeijDrq+6//BqsfNR769/vth3RE2RAJR5QNfnxHa/zU0/cYYETZ4NuPZNw0ZyjLX9utuiXq3/Zxn7i4qFtGc1zJh/D40TLQ8aVF4/HqFofJmdaza+BzS3oAe9HmF3HEfe/mTrKzzz4bL774Iv/Affzxx2snmaIoQ2b8+PH46Ec/invuuYfTbnN2w/976os47/FPoDfdN2B9FLVJ2c3J5X11i8bj1S0aj1e3aDxe3RL6+T5lTZTbgtAooz33oakpkFjwNFrX0ZR25vn5ac2KHmyQjw2pKwZKVNrTij12R8WeuyPVshmdDz6I3uXLeEQQlZDFPkdbm3QemVjx7ntKLGZ/g6r7PkXPQbZtzVFi2yRHaLs4+TgiNm9rmoSmbcjlvPKk6a4uHh3GNm9DWZvj4lKONpGoK0c7DOMScWspz5YtM1IkaSQZ7W+H2cG+fTW5QCkjz52pvNgYuRPFJUiPn4DeNWtlO5t4G1uOXOx16hysknc+85AU+Ow+KiqRNucIxdjnqZS1GvhCpWk+03196G1tkQ5Mm/x8fymYTtOk1OYm7LUb3aeMno8Wp26J+jUu6haNM+ZcokTnFDsHsS9a+H2c9vAZ6BzXze3GZ559Bp/73Oe0k0xRlLx4xzvegV/+8pdYuWolvvKVr+Cvy2/AofcejjtX351V/wxqk4uX/tQtGo9Xt4R+yilDJ3ocRd0y+uPk8fGjuWwfr24ZWjwpt6MeHYuP7x97i5IP/hHUZfgL/8hBubRLZPZvP7z2UbznweOxqG0x/vznP+O6667DLrvsYgopiqIMn6OPPhpz587FRRddhL+//k+894ETsKGrKbY+irNZya2LLroUzDLvZRnR5TNidnExUnvsA5SUILnwWbSuo/pCQsEmrBmGVZO4kHmVpCYFSl6rNM1i2ewd0btyFToeeQSptjbaxCtjF7c9Tce4eCESlZVAXW2wv6EoT+FoSHV1iZ98lEyJ4Hm4MLmtzQ7Kk48jYnOT0JCi+7W5YJjS3d3SUUb7cX7Os5hk8pw4IrF0CulEUnw2ziEbp5zEgBUtxXhwZRX+/mo9bltajQVrS9DdK+UdbnvHgHZ3FxLLXkN60mSka+uNQ56L1L4AWll1ry1TeSGVDZGaIFNpdr+5Kixny5iVVc5y3pXgWBCQGCvFKcZ5Ukl8H7R2OyUo2VY5x2U9lWygybo6dDdvCJ0G+5cdHLsNle9qbsLeu1caly665LNY7DntzvOB7PMfvwA/W3wpzjvvPLyw+AWeiURRFGUkqK+vx09+8hNuP46b3oBTH/owrl/656D+MY/B6yty6TKiCx1RZej4x3AsLtHzwo9t7YWuIQuW/vrU3LLt7RCxwxgtY8dW8sMdP1nU9q38bILXZjWQPrfpeZz+6JmobKjC3Ifm4owzzqCooijKiPOd73yHO+IfXf84znjkLKTMElcv9aeufvMXtX1LbbV9a8vaj74i97jyGRG7qIg7ydIV5Ug+/yxaV69HX28fxyjsJ1qx0iuy6gWNSN5XSsnyclTO2R+p1lZ0PrfAK8MPKecWjtld2/uWFTVOokJ2m4GUdxba5nkJut9a6GcX52nJsDlPK8mLLbjRaYm0TH8YTdxRRs8XbGP3Q2vel5QjB/nYyUJ+ztnSFnYmsKq9FP9aMRn/WjsLz3VOx5pEI17rbsR9axtx2YIJeOSNYilv4P17DGYnV72JRGsL0rvuxiMK3evgh31+XwdKRHrSFPSsXGmORZf1mRhHZM1iEoV4Ozbd2gYILsAPzpNyCZenztOOdinjylKMg1HlrNgk9fXo3thkTIpnJhpV5kaWDTbCrGdTM2ZMq0BleZHZryz0ZP6itm+pnWlbTIbzg+gFT34Wf1t+A18AddVVV6HMXgSgKIoyktAIs4fnPYzDDz8cn5r/GfzrjX9n1Uf9KmddDedysqjtW7nbpEo+uCMpy1i0M/Gj+e3PX4ZiJ6XfjhZCtHDtkNzKj1ZbyY/+jqfa+drB2qzYz2qSZ3enevDx+RcgXZrGLbfdgjlz5tAWiqIoWwya2vXaa6/FvPWP4ZNPfLrf+olsWpFtH5ysh9dqq632trP/9lgRUn0p9o4YJaVI7bUf0lVVSL7wHFpXrkVvj7sXmryCDDxXkI0pFiLBcronWSKBjieeAHr7jNu+Q3lw3nrExxlDymSa1iPZaO+VwQGvQJbalbUT5v0RNC1iFL4CWjZgwiuiaSV5uxsmnZSOsnRv/L3ighFlGfjvifZJGX44J9LmuMjzUFmJMMa5sr0EN62ZhbVFU1BaMw5lNfVG61BaXYuSqhoUV1Rh3to63Ppy2Fk2VJIvLgSKipHafS/+GwWvzr0mq7wWI5Z0bR1gUtey5dZBZV15q9bF4pTXBDn8PD84T8pHx8TTySTfSy9tR5S57Z26rVgzXGkkzN8nUVqK7ibqKCMfrzwl5CcApxklvGI9m+W+eW/bpcrsOfNVqK12brbJmwznWc1ibVGxL1n8C/xp6Z/xzW9+ky+AUhRF2ZLQdP503+s5+8/B+fM/hRc2Luq3fiKbVmRL1s+pPVybVMmH+OM5luxMsuNby465R1nhqk8u5UevKvmQfRxVh6OUC9ZmxX5Wkzz7q89+Ay80L8LV11yNfffdl0oriqJscc455xz+gYXmnb9+2V9j6yeyaUW2fdjEHlVV1W2s08elTIaskSFdWYW+feYgXSYjydpWrEZfX8o8hXkOk1jpma1GfbywO6pholWyohylM2eg+5VXkWprD/y02AfnZZ9scN4FEy0tgHmtEnPbubJx6sWp44qmSkzJaFrjpjUneb3sYNzrD+Pk8+yiJMwBkm04lqnprm7uhCGDFsbEOGfLBdtI0GwkEzqSm+xgO8I4n9g0mTvGKurqMW6CSRPrUTvOdpRVVqOkohLF5RVYtLESr22w2w2Vzk4kFz8P1NQivec+SBQX29dKLyFUwmkc6Vmz0dvUjN6168TBZW3yt5cHu1idg1XyzmceUsL6+PXQaDJDup3uUWZ9vvpLNFZXx9v2eiPKchlB5sdcvq9lM+9r9vYVsm+TV1UdihLmVJI8q1msLZrAk01P4XsLf4BTTz0V3//+96mkoijKFqempgbXXnet+e6TwFee/Vps/RStvyQrOdWRUcopQyd6HMeaUs4nGt+amjGirNDVJ5fyo1eVfMg+jqrDUcrJ2ixp8Ub18fVP4MrX/oALLrgAJ510EpdXFEXZWtAPLAceeCB+sOhH6E31ZtRPUbUPm9ijqqpaANrd3WPWIeTzMR/hDPqLp8c1ILX3/iaTQtGzT6L1zTXo7e2zdQAVMCoZ9pGKI5qIUGUbkzPKWbMqnTWLO5i6ly0LYrTiZ7Ll2GKfjUkh0R4ZDZbmTihbJkeljqs0HzOxZbe84n3L8whic44T5TPsoiKkzfvgbfgR0R6aenHwe5Sxm3br4omEHSlot5MgVrSVYQ0moKKmGhMba9E4uQ6NRsdPqEFdfSWKyypQVFqOZEkpksUleHq1eX12W0fE7DdOU1zSiMJ0TR36zHmRLilhv398iP62T8/Yzmxbi45nF1iP29a9JykZvH9OHAniQTkbY5WtrJvUZMorxNvewT55eEoxT/2F7k+W7u1Bb2sLx6mRPxQSstuAto1tmD2rwu7dPZ+qam5KyOfALP3oxS/8CNWV1bj00kvtFoqiKFuH3XbbDT/7+c8wd+3DuHrJtYPWV4TLqY6MUk4ZOtHjONaUcj7R+NZUHlEmfWajQUNyKz9aVcmPXI+vaq4a4vKZ+uuXf4ey0jKdMkNRlG3Gt7/9baxsW4nfvvJ764mvrxxi5V4Pqqqqbjk9eFYv+vqoWRIisRC6utcnLp6ePBWp3fdGor1NOsnWN/M9yagwj5rhckadHZPMStSUdio+fhZWs0aypBils7bn6fiCKQu5OEW5kJi0sM/GeEdWbedgsqTElnPlB1ceUUb3y7I2jQYyWYafjwsJYnOOExcNbAPdo8yOKOPEZUKNvUcZx2U/bjt2u3g6zbNLtrR0oq21i1NnZw93Wi5rr0JxWTnq66u4o2zylHo0TqrDuIYq1NRWoKKqLOgkSxYV45XmEkROD/s8IfT0Pr6ZaN6A5MIF3BGV2v9gpKfNQMJON+mI2z7dMB6p7XZA9/LX0bdZRlkR/F5NCT4CbkNxsSnHjky3dgEyRSlLa3bRQttUVPJ96+i+c8Hx7E9poW2c1tWhu9mOJnM+k8IRY8kg748iiyYXK+rchB23p447Y3uvVVU1NyVcLlvvW3M/7l19P7757W9i6tSp1q8oirL1uPDCC7H/fvvjV6/+zlj911chudZ/qrmqkg+5H9/Rqpnkvt1IK48oI0aLOnItP1pVyY9cj69qbhqSXWJ52+v494pbcMGFF6DR3WdDURRlK/O+970PhxxyCK5bdr31DFyj9RdVVVXd+jp1XAq9PX1IUc9KPhQVIbXz25CavQsS69YAzzyJ1uZW3ieTw26zi8gVhRyJ2b5ku5k8lV/3a0tM3BYgybj6mJJZs885xMt0d4sWFYdxq4PZPBVil93exS18BbR7TQaxOceJ8qFtSBb1e38ygqZeJOj9BtA+WSlrn08ezmlUmprUOUaps7MbrS2dWNVuXrt5zvLyEtTVVWDSZOkkq6wsQ1lpMYqLi7izxm1PrNo8vHvYJTZvRPL5Z5Awxzw1azb65hyM9PTtgGIZYRYltf2OSO22F3o3NKHj+YXW66D3ZpMcyNAkccprghzWyXmbFcskcphUWcH3J3OxDPwNYkjU1qGnuckaIj7O5Zr/RMZPAmEBprdlM3bZsZzz0adWVc1FByrxp6V/QVVlFT772c9an6Ioytbn05/5NF7Z9ApuX/kf6+mv3hL6i6rmp0p+5Hp8R6tGyXW7kVZ7j7LRkXzi4mMpKUMn7jhqyj9lEvUkcOubt3PurLPOYlUURdlWnHHGGXhp08uY3/SUsbLrK4er3zRp0lQgyawo0X3EhgpPqbfvgUg3TkbijWVIvbAQLZs7eF/+SJlooif21Yjkea+hT8pna9kOO6D7jRVIdXSwT/Zj47ywS3J2G3G4jFn32c6pErp3FjnMyupgNo0oS3d3ZcbFMHlJjtB2cfJxRBKPKOu15SiWqeiRjrJkWTltzXkKcC4oZ7eRoPnDpGXbGOqT7Xx/td7eFHeOltiOMepsS6WMz/zt0mlzLpiUNjal8r5OtLZ2oqO9O0hdXT3o6TH7Mckp7c+lKImWzUg+/TiSL76AhDl2qe13QN/Bb0dqj32ko5U6x3bdw/jegfT0mehesQJt8x6N6USkNyaJXje9UVHrdeocrJJ3PvOQFPjMuqIS6Q661x17MtWWy1SKmb9LRRUSJSV8fzIaEZbbyLGkVeszC+d53wn0tm7G9jMr5Tk0aRpiyiTT09XXjX+/eQs+fMaHUVEh040qiqJsC84++2xUmv+9t6y4zXqiNVhou/pN08gkJT/ijuVYSlHiymytZO9R5pJc/1aotk9cfCzZytAZ6HiqPXQ7WKclIhraD6ydix223wH77bcfl1MURdlW0Kgy4sE1c2PrK1KCfZxsXG211d6m9gGzpCOCRh053OfVEWenZs5Cam/z/aMoicQLC9D90stoa+2QuN17oF49QAs/aJ9OCStxuBCVTdTUIFFRge433iCPtx+J8yIuzpNBtmRdxjwS1AwjkzqFOJOzJkpl6kVny255xc/hXhMR2OyQsmxaG8XFSPeE9zuLKk29SPB90cRjHjbHWZPnxBHnNC3MpHVYHyswpWgjejra0dzcijVrNmHJa2uxetVGbGxuk6ka27rQZ94bp55uTC1vRzLVi67OHrSbWHu7SW2dPDpt88Z2bNrUbrSNtXlDK5qbTNrQgg3rTVrndHNgN734GprvuR8td9yFjqefQee6DeZQ9qKn1PxNu83zLF2GlvseQPuTTyPtzknv9btjyYt9r6Kc5bwrwbEgIDFWilOM86Qmwx1l5vwlPz9XpnK5DJWEulpahyPK2DkYAxQyod4WudfZDtvTfcrIlfmcaqs9kE1wns9ds7hz2OiD6x5CX6oP733ve7mcoijKtqKoqAjHvec4PLDetB1j6ivJCezjZONqD8tW8qO/4zlWbLd2DFZ+S9r2HmXSa0brwrZDcis/em0lH0bu+KsdrsFXmWbrs5uexUGHHEQeRVGUbcqsWbMwY9oMPLvxudj6itQhOevnnKzVFtSWtdrClranj0sZU0YUOWhUi0+GXV6B9L4HID1zeySa1iM5/zF0rFiF7q4e3g8V5b1T3qnNZ2hGss8RVYLikmNfSeNEIJVC7/oN5AnKsXBZuz+JWh8btixljJTItH+Jnl7r4gJW+7Ot8j3K6P2ah7d/Fm+bwA4KSF5sS3EJ0vwa3HaZKp1opsFYXspK+6DEay5m8pyRCDud2mzoA6aVtyPd3oyWpo14Y/kGLF2yFq8vX49VqzZh/boW9LS3orezA71dHdxZtts4GjkXbi86fLuvqwtdr7+BjhcWoe2pp9E671G0PTGf7eCeZDHb83s1GfGEfolRsscmWNsAwQX4wXlSLkGdinQfOOooIz+X85XEU95cNFlfz6PeUuaYSZnMUWUDjSxzKVq+r006ymbPquDnMM9mlXKyVltQW9aZtlU6ryK6oHkB5Xi6bEVRlG3NwQcfjFVtq7Ci4834estD7Gh9p3a+tpIPI3f8C9XOZOT3n6ut9ygrUFXyI9fjq5qbMvbKGlGTM7qpZxPWtq/DLrvswkUURVG2NTvvujOWti0N6qlQDUYdLqeqqrrtlTvKzOfTTcXXL8kiHkXWt9+BSJdXIPnSIvQ++wzaNrVmjkazGhC7y8xXkVnEWPzILOMobmxEz7r13FlGuKqFlesbf0uTYx8brhBZwf2xUtRJZZBS4dahLQT+Utku3d3JSm5Xhsi6CppsNmklebGFdDCijK0sdTEexRZgn4H3RfukDD8k1mf+HtT50w+HVSxBR/M6bF67BqtfX4OVr6/FhtXr0LmpCV0tG9Hduok7zKaXbMJsOj8KCT548k4DtS4Wp7wmyOHn+cF5Ul5Tx2ciwVMvClIiUBazcm7C7pPuT9a9YR1vLw7XxA8hj5/cOlTC5o2ku7p4lN1sO6KMUFUdmpqcOUfZZhV7SetSNNQ3YPLkyVxOURRlW+J+y1rausyrt7z6y8PZqiOjSn7kenxHq0bJdbuRVu8eZfIF2X5NzrALKe7Id/vRElfywx2/4R5/jbucwbuyhksYbereSB5MnDiRVVEUZVvT2NiIDd0yysOvrygntpBr/adxjWt8y8bdaDIe2WLs/u5Tlm6chL45B8koss2bgPmPomP56+js7EHCtGR4a96HXch0yvvncJBo5SuVlQetyEe5iFJKJlE0bhx6165lm2CRzaQML9bHK7MmB6cgGo4o6zPvgRYuZ1OGLftxNt0rjLfr6g7jvEt+gqCcw5UJ4+QLbZp6Eb29YlHZqFKnVyqFZGmZ8ZGXA5IzK9k/ZfghTrNNgvbbDzMqO/GO8lfR27wK7RtWo2PDGnQ0rUPnxg3o2tyM7pZN2LWiCe/ZQaZ9LCjovfI7pTds37H3/m3WJJthlbzzmYeUsD66Pxl7OjtDn5RAe08SG7qKxWOCvC0pFTTnY6K2Nrg/GflyHUHWf3m5f1nHplbMnB7el07W8ppEXdK4s0U17nLmRBLLqLObupu07agoSsFAbUeiqbvZrKWecko5n1zrP40PHlfyITx+kjKP51COfyHHo0TjtJYU2qIjG/fuUSZ9Z2FPWmgXUtyR7/ajJa7khzt+wz3+Grc5I+5qYbliWLQ3JVcYl9gfehRFUbY1xcXF6E33BvWU06D+shjLqkuhLapxUY1rfMvGp9nRZI4+OzIsKFtTi9Q+c5DaeTckqLPmxRfQNf8JtDVtRm9PyjRk0rZhY7bg/bhEhM/kR9hnVoFyRvKhZjrdHhLVVXRTC/SubwrqFKlrSCUvi7VtgPLOKVFDSSl3KMG8ZylHYasD2XZkF436kecjf7ASH+cFsTnHifK+jaJiIBhRFg/dpyxRWkJbk8U74Bxn7fPJQ+J9vUjQ90NxxOqsmi6cNW05Di1/DdO6l6G05U3UdqzEXuWr8KHtN+CdM3oQjEkbYD9bVQ1ybOn9G+W89VmTj4ctQY6gnI2xylbWbVY07aIh1d7Owd50Ak811+L3S2bh2je2xw1vzMCvXpyGe1ZUY3UbHRXeComaarNKoLeJLhCRhj0HckR+EoinvK8Nkya6v3m4W9+WpHFni2pcMibnJWf3pnpRXNJ/J7qiKMrWxP2Wxb9tReorThwVnEVrSaEtqnHRweNKPoTHT1Lm8RzK8S/keJRonNaSQlt0ZOPePcokV+i2Y6T2V6i2kh+5Hl+1c7NJvAtrQlUURSlUovWVU8tI1Y9qC2qrLSoMxT5oh17z2TQ5ehjtoU6jdBqJ0lKkdtkNqb33R7qsHMklr6DvsXloX/Y6env6uKx8pu2+2OadBOrneXHKeeN2Sv5wE0608pXKUqa4fpxpPaXR17JZ4lyEC0g5s5LF2jZA+cDJGUNFBUBT7XERWuWo5XYKxO4utjmRzSspw+UsYnOOE+UDmzIldI+yHi4nLl9lX+mebiRpekDG+ilnywXbuDh1ABJFtqtLArE6u64bR01rxek7bsRJO7bigMk9qK+wzdYBttsmauD3ahx8BDjPJqfgeLDp1i5Apihlac0uWmhEmR1NtqStEn9eORvPdM9CcW0DymrHmVSH0uo6vNI1EX9fNhFz3yjnssk6cz4aejc2y/NSMi37gUeMZae48qmuTsycWmpfpXvN7lWrrbbQn01iTqNsVRRFKUTi6itSillGqn5UW8mPgY/nWLGjDFZ+S9nePcrCHjTRwrQdI7W/QrWV/Mj1+Kqdo22EEpkuz7aiKEqhEq2vnFpGrH7ktdpqqy0qDNV2kD9ZVYXUTruib84hSI+fiMSK5eib9xBaX3wFne1dWfcwS9rL/aL7ChzBB98oZ/2SXsziRx2+L1lfh76WFp6K0O06qGNEGNbAsEGGMmLQfdbSHR2cHxLUYdXTLfsl/N0b3FXQDrE5x4nygR2MTrP3O8uCCyLd3YNEWSnnGdonK2Xt88lDnL1y37VEcRHr2ILepU1yIEOTxCmvCXJYJ+dtViyTzLq8HOnODnT1JTF383ZIVTagrGacSfWcSqvqUFpZjeKKKhSXV+KZjbVYsKYIifp6pFo2I90nxzts3hNhk5/URfwSAbYHgzrIWE1KmXNz4oQyeX2G8DWrLSqo3Y9thD8eVgNbURSlEImrr0g5KIxY/chrtZWhMvDxHCt2lMHKbymbZ/YnRos6ci0/WlXJj1yPr2qOasS/siawFUVRCpVofeXUknP9p6qqukV12jjTHDFm0YSJKD/gQJS/83CAOsjefB29D89F+/OL0N3ujZyyibZxP+oTnKOYUynCZQIlX4ZyJlA/T4tTXsg0S1F9Pfo2yj1aw33ZPC8C52SjUBmvFE2319lhtw0jgR1VXoxS51aXOSbWphU9BWfIR+XFwYS2i5OPI0FHGbq72eRyMUpTM9KIMvuMFJCcLSNJivLa3msuQdM6jjnoXUqS4+PUep06B6vknc88JDkfjS7s7MSClvFAZT2qzHk2YVI9Jk+pR+OkWtQ21KCkyiTuKKtAcWk57l1RDdSPQ8/GJn7+zJFjcp+xaPLLZJaPpiRSXR0YV1+CYjsq0HhVVXNXI5TIdHm2FUVRCpG4+oqUg0LO9Z9qTqoMldyO62jXKLluN9KaDHvORoc6ci0/WlXJj1yPr2qOmja5uGTjiqIohUZsnWWSw1iqqqrbWItLgAMOnYyyw96OsgMOQKKqCj2LFqHj/vvRtnAReto6MrbxF3mkgxFljPuMe591h/OQcqI6gR2hZiTyOjWJ1qTJmhr0bdzEMalXpJjsT3xSXgJsc+IdiM8ZdkSZey0uEthR5cVQVib3J3O2wRRxKylPeRsMbHZQnnwcQbpURomlO7tcWHB5a/PUjKas2UKctE/KcVb2z3kubPJ2hFPQUUZBVpHRbLtjyQvlTRLlLOddCY4FAYmxUpxinE8jwedCOxZ0TuXOsPETqrmDbNLkOpOvQf24SlTXlKOotAzJ4lIkiouRSBbh5SWb0NvcJDu0yCfCcwwCl3fFg83SPKKMfigcVy+jAvl9qKrmqnx+xySOKoqiFBimcoqvs8Jay+VVR0aVoZLbcR3tGiXX7UZak+4rtes5K3xbGLn9Faat5Etux1ftHO3gchrf5oxVRVGUAiOjvjIpqLeEEasf1bZrtQW1ZT2wvffuNfjBV2fhmXsOwC5H7c7TGHY/+yy65j6I3teXI5GSe5BR8UBpMflgsXmHjILhDayKj4uQjwsFJsck76mXzCpDeamqorke0be5xYtzVpLdD+VoLTFecZ4xeY6WlfO+Eh3tXIbCrFx8AJuUR6LR/aysbZOsXDlj+HZQQPJiG2xHWXi/My5hy4Q2TfWYdGXJFq9Xjguyj53uHmUldupF8rGKjGab36vJiCf0S4ySPTbB2gYILsAPzpPS6C3q/Fy3rgtFxaWoqipDfX0VJk2q446yhvHVqKmpQEVFKZLFJUgWFZtTpwgJc/4sX7YRfRubgtFh4Six5IAjxrLLZ48wS5tzjBg/zv+701pUbbVl3Y9tziH2sTpbURSlgMmor7z6yzJi9aPaVpWhMfDxHDt2lMHKbxnbfDvP7DkrfFsYuf0Vpq3kS27HV+0c7TSpSXxFjbM5Y1VRFKXAcPVUtP6y5Fz/qW3Xagtqy3ro9oSGElzwsam4/1/74D9/2RMfPX0KXli8GV1PPI7uR+ehb/Uq8zF15d3KU8LPG8P//SL6nEScj4mYPnEh8aWRrK7mXKq1hZVfrzy4qmHliNUsB0GvyhjU6UZWayv7BKOczbZFrL+sXO4p5h0vG2GyroAmm00pSXm7KU+9SKPTBOeMUbpHWdBRRrjXZB68f8rwQ5zREWVjCT548k4DtS4Wp7wmyOHn+cF51nKZ/rK7g/4O5rxOJsyfpYhHkVEnWXl5CYqLk979+NzxTqOzoxt9dD56nwUibOr7zf4wF8X/bVCyieC+dQ3j3N8w41VzTtZqC2rL2truc2KUPcFnQFEUpUBx9ZRXf/nkXR+qbdeZtjJUBj6eY8eOMlj5LWPbe5S5r9KFriHx8bGjSj5kH0fV4ShnrVqPs8OMoihKYRH86icS1F+WzHpOVVV1S+kJx0zAXy/fHQvuPwDf+Nx22LipF9/96TIceNxT+NLXFiPd3GyKSlkeyeLU7ELynjq/rIKOg9DnKW/D68w8qZfMyqrsiLKsvOPAzWWKqqqQ7ulFiqYpZL+UlzK0jb8db2TzzicZLksdZb09fG+woOwAKq/RpOJioKQECercsj4XonKU5HWxgxGbc5woH9jU+WX35Z4jTnnqRZruj/dBm9ocF3Fl+cHOdK+MKEsU2xFlYwl6r/xO6Q3bd+y9f5s1yWZYJe985iElKF9ewdaUknakzHGmzq/2tm5s2thhUruxe8yfqNecKr08pWW6rw/plKSpDUX9jxyjFr7NJ717lg000swlKgOz/+7OHjTUl8hr5VetqpqLctaq9ThbURSlUKH/fawigc1E6znV4akydHI5rqNdo0TjW0/tPcpoPRo0JD4+dlTJh+zjqDoc5ax4+IpAs1jbrRVFUQqNaH3lbIfknU9VVXVL6DsPqcNvfrwT34vsGz9agn2Pno8PfnQhrvjTSqxc3YUDd+w1xagsYZTzTgnZk9Nwz1SGAwxnJRAmWjnlta+yJz/PWafu+a04TVRXB6PJuCjVK6RkUp4XG+OVBCXPDw5y2apqoK1NbOsXBtEyGX3kRvuQn5+GwrKS/XNecK+TYhK3RcnmEWW0L+MnF+dk7dvp3m7OJ8poVJnx0D4px1naJ2X4IfEeKV9SWYHi4iLb6DRIgdGrBjm29P6Nct76rMnHw5YgR1DOxlhlK3Hbv2miqwOzilajo6UFq1dtxLKl67BsyTrON21o5U6zns4O9Jq/V59Jvd1dmD0hxdvSDu0RDpEnycAvk1We8Lcx+a6OHlRXJ9ng96GqmpOanBH22M+AsxVFUQqRuPqK/2cHSEx1pFQZOrkc19GuUaLxraf2HmVhz1lh2yG5lR+9tpIP4fEb7PiqnYsdIlbUqyiKUnhE6ytnO+LrO7XVVnsk7Qcf3YR9jnoSp523CNf8bQ3Wrqfp+ML49HE0faJYPOqArtz1NMNHi6+8kUBZWyxItPJV9uOU98L5YPF9XjIrq+CpF/taaKpE2q/sy4Ykz4uN8coGxSFZs+b9VVZxRxlvY8uE8f7tBN3bjKB7lHFG4rYII6/LGgb3OqWALW/tdGkpT71Ie2c/eVkjdncPbWCnXyQHlbAxytvC5JO12Xd3N6iXtKg4idLyYpTRFILBPctERp0a5NjyESLDOiUFx4NNt3YBMkUpS2t20d+URxYCe9c1o2tTM5rWbuCOsqVL1uKN1zdg3ZqN6GrdjJ72VvR2tKG3qwMHHTgZJW3N8nxeGnjEmIwskzJ+PibRiLRUH0rN309esSRa1FZ7YFusUJ1XURSlcInWV5n1lqvfwqT2cGxl6PjHb7DjO1rtKNH41rPtPcqk38zlxQ7zYhO+HebFJnw7zItN+HaYF5vw7TAvdib5be/bYV5swrfDvNiEb4d5sQnfDvNiE74d5sUmfJ8ydMLjN9jx1XiYF5vwbfEIYTwspyiKUphE66tovSWeMIVxZ4d5sQnfDvNiE74d5sUmfDvMi034dpgXm/DtMC824dthXmzCt8O82IRvh3mxCd8O82ITvh3mxSZ8O8yLTfh2mBeb8O0wLzbh22FebMK3w7zYhG+HebEJ3w7zYhO+HebFJnw7zItN+HaYF5vw7TAvNuHbYV5swrfDvNiEb4d5sQnfDvNiE74d5ps29nCuv3juuLLx28RFM3wDFWAyC7h35RdK1tYixfcUs9CVxzYcvicnZuUuSba4LG9TXY10W2tQ1JOB7fKwo8zFI09jbHpdoUdsznHi8s62HWWDQVNOEolSmobPQPtkpax9PnmIk1JPj9l/CdIpCqS52VlSUoSKylKUlZVwfnRi3x8lOZChSeKU1wQ5rJPzNiuW/E3tCMHG8h7sV/E62jesQdu6Vdi4ejU2r1uLjub16NzUhO6Wjehu24wpNb046ugd0bex2WxlmvZ0cClnlYjzhYjTrUk5b1biE1K9KZSWyYgyl+R9+Tbh22FebMK3w7zYhG+HebEJ3w7zYhO+HebFJnw7zItN+HaYF5vw7TAvNuHbYV5swrfDvNiEb4d5sQnfDvNiE74d5sUmfDvMi034dpgXm/DtMC824duhx4/7XkVRlMIju77KrLHIJk+YXLnQDvNiE74d5sUmfDvMi034dpgXm/DtMC824dthXmzCt8O82IRvh3mxCd8O82ITvh3mlXzwj99gx3e0xqNE475N+HaYF5vw7TAvNuHbYZ6Sd48ygtTZUSXi/FszHhIf9+3RHVfywT+eUSXi/BrvP+4I44IfUxRFKSyi9VWm7Tyungvj2X6Na1zWGo/zDy9+8I59RozFiVyeioQa+ETZ6UF+8gVKi6/k5rynzi8rzjsVX6jJklKgqAh9be3yhIQty1kqxMmK7ITz4qUStlRlhVklgfZ22d7ux72e/m2TrzDb8ugjGo0nviAmezd5SY7QdnHycYSnXkSX2R+VcdvGKd1PzZAskWkCaQduF1yGE5vs5GiP2a85btxHRMlEKFGsuDjJI8yqq8u546y0tJi3HB3Qu5RE75uPhX3z7HXqHKySdz7zkER56qy0I8rIcfDkTnxg8huY0ruCO8w6KDWtQ+fGDeja3IzDJ2/G2Wftib7mDXYf8vxuhBglN0rMHy0WP3Is3Iby0fLFiV6UlciIMlrilYjza/ytG3eEccGPKYqiFBLZ9VVmjeXqN1/782t88LgydKLHUXyhPRbiUaJxX4k4/8jE9R5lBapKPmQfR9XhqMBXC9NCv3R4qiiKUohE66vQFsi2pVRVVbeRThuXMmJtdnlKWDMIe8mtA3gbk3gfXt4q5Sjvq31mWcsjQ/2UqJCRXCnXUUb75GSL2OeitXXYJCblg6WymjxAyyYX5KJcZkDbJJqmr7MjsEldck55XeQ0JrutzQ7ZF5v23li8P1u4P03Ze47JiDLjo31SjrMmz4kjNmZy1PlTWopUKmVS2ibKhzaVLy4q4k6zmtoK7jgrKytGCU/3R/sS4Z2zimwte2N3CV5prcKSlnK09cokLO5Y8kJ5k0Q5y3lXgmNBQGKsFKcYZaizsruLfRQhnVHbhxN3aMF5O6/GuxtX450T1uLDs5vxlUM6ccD2RTAHC31NG7g8w2JW1mRc3vdlEdkgUjbVl0JpKf1gYN+HqmpOSpicPf/5vPdUURSl0Iirr8SWOPvMojpSqgydXI7raNco0fjWU/OtX3rMRkfyiYuPpaQMnbjjqCn/JCRsNqqKoiiFysD1FhmaNGnalmlGg7tHmVlI6UMaKBWhfKgZiQuE9L+ffnyubLCNcXPeU5NMVvKVlfw86U7bUWac4XZkSmFaBysbDEwWs9TUADTdYS+NqJOgbG51IJtGlNH9ybw4Z6UY495Xhh0UsNuYlKZ9GdIdNLKNnFI2VqlgX194jzKTeE0xs8ooR3nK0b3PbAcjNzrp1yZ5cJKMa5DKfuh+ZpVVZaiprcS4cVWori3nTjTZJxUS2dL2ax11+E/zjrit5W14vGtHPNyxA/6xZkfctWYCVrbLMZCi3nYm0W74eLDp1jZAcAF+cJ40UWb2R52K5Ccfx0VryxLYfRKw/7QEptVRk934x42nrXlEWTJjFJg/OiwzuTKk/qix/rZxZdLmb15qR5Rp0pR7EswpFKuKoiiFRn/1VVhvUUbTyCVl6MQdx7GWosSV2TopeslegWuUXLcbraoMjVyPq2puKtjfNrJUURSlEImrr0gzcQ5VVdWtrdPH9bE6XGdJWI7wfHHhGOLC4rORoCLw1GU9X+CycAeV2TbV6d/Py5SzBWWLwLArk+TBWA9QXQO0tjhraEr3s+rsCOygfhMH466CdrDNppTkbShbUcmZdIfb38Cke3rCe5S5Z+B90T4pww9xmpTu6kTCvF4eOUYjyEwZSpRPu1Fl5CO1Zbic9dOvU6Xm+WiU2fgJNdJxxiPOtuz9zR7YPBNP9O2K1sopKKsdh9KaOpRW16GkqgarMRF3rJ2Mx9ZIJ6N7x/YtizjlNUEOP88PzrOWm311yYg9GxBx5azPkRjXAHOQkNq00XroUCWkWW9WkiNDJFAPLuulIMeGeIi0N6JMUFXNRYXgs+CpoihKIRJXXzkVXEZ1ZFTJj1yP72jVKLluN/JqO8rc12r35bhQ7ZDcyo9eW8mH/o+n2qJCrrYgDW/KiAa2oihKAeLXU3795ZCsc4xUfam2oLbaokK8Pb3B5ChjEn9G7Qc1UFpMPlA/bzUDMrlctobbuHxEg7JcwPrCPGt5BVJtbaagD8WDHJezhmzDPjFpzfulbHU1qKNMbOfPTWXqxc7QT/u3SZ7J+dnBuHJhnHwmSx00vC8b4XI2cTnfNvT0yL3aCOczK1eG8xKU1NWFJHXspdPyQ5NN/OMTJVoCP1suK34myCBZZO9rVlOO2rpKjGuoxrhJ41D7tp1Qe9jBqD36SNS951jUf+D9qHvfe1H7rqNR/fZDUTZ7RyTcNJODsKhjAtaWzkBZbT0q68ehalw9KurqUVpdi9KqGpRUVqGkvBLPt4zDm63F9OZ5O//926xJNsMqeeczDylRXGTEWD1dNkYROp4k/ei4cehrWs/7CP4+QZIRYjJyLMxnlslO4UizzBFqRJKeiJ9NVHJqC2rH24I5jcS2SraiKEoh4uqrqMqKGKn6UW1lOOR6fEerHWWw8lvODkaUSVPENUgK1Q7JrfzotZV86P94qi0q5GoLcnUyZyTPiUOKoigFB9VPYV1lknNaJOdsG1eb12qrvTXs6Q19nsetPCVcgB8SiGoAm1wwVK4IrBLWtNmMRGvWaH1h90FTCKba2zkvfkqmrCtGjtCwMfKJSWuui0pKuLMr3bJZbPZzdHDbTZVoXof4XTI+ehJZBX6HK0MxiduiZn/pdur8s2WDgE0ZtiEYUSZ+jnDWPp88JE6pQ6apTFRVcVxGjqWQSstosmBkWRCTFI44k3Lso/17pBrGA/vsj/Qh70Byl7chQaP06F5r69chtXQJUqtXAu2tKCotRcUeu3MHWtXBB6KIOikJt7uILujbkUeOjRtfh8ZJdZhk0oSJNaitq0ZxeSWKzd8uWVrGHYbPbpBOQCJ4/5zM6yWfdTgVsSpbAa7jsbvbWOR1ifCUs2ZVbMpXVaPPvM9Y3CYWbu5HfAOR8ApTPpFMoruHfM4vr1JttYX+bAOd+/azEOTp/FcURSlApI5yapMEOG4ytn5TWxiureRHrsd3tNpRBiu/5exgRNno0Ci5bjdaVRkauR5X1dzU4i4B5EtrXBKXoihKwUH1k19fsS9aaTlbVVV1a+v0ce7+ZMZDajKStyVIrYN9NhColAqQfVFZT7msUy5Ej0AzEm9DecpF1GSSFZVItXdQQUGCHBPTZELDxsgnJq15X9ShQ1Zbq9icqLjLD2BXVsm2nR1BzFgS5wCtbFmOCWJzjhOXNyldXsnTLhoPO3gb0n5s9PaG9yhjv7iD55OHxE1Kt0lHWbJKXrf7Ecq1QSkvyTZOOUZ5sV3cJ103Dqm990d6t72QKi1D35Il6Hn8UfQ8PBd9zz6DvkUvoO+1V5F66UX0PbcAvU88ht6HHkDqxcUorqtDzbuOQsXuu7kXmqFvdNWguLwCtXVVmNhYg8lT6jFpch0mjK9BXX0lKqvLUWSes6ikFMniErzRUYn2XrsDecvh8WDTrV2ATFHK0jph9sM5Ora8nVlilLajBePl/mTpDeuCkV8ZI8aSXj5IMkostnxW8kehme2KimxHmbxiVdXc1GDOIU5+3tmKoiiFBtdRTr36Kqi3VEdWlfzI9fiOVo2S63Yjr7ajTFEUpR/4lwr7i0WQJKQoilJwZNRVVFk5VRSlEJjWkDJr+5k0n0336fQ/pXG+XBl0jwOFPZyL7lHGI8oyiGzs6hgSfk9iuzV1CPG0i709QEcnewPspgFxNk2VSHSZbYM47TezuLsS2hF0UHEpW56yPKIs+p76h+5RluSOMjLMflgpa59PHuKkRO+zuxtF1dJRRlA5GSVmR5bRtnYUGY8ss7YbRZbm0WcmFZcgteseSO25D1KJJHqffw7dcx9A76svI71pc/Dc/PxmO06Orm70rXgDffMeQmrZEpTtNBtVBx5ggyHrequQLCpGRWUZ6sdVSSfZxBrU1FUYXynKSouRSNJUidKZRKxqsQ1q++QsTnlNkMM6OW+zZNEIQ1I6VqS8JnXlXGHZW6JhPNId7ZwIv1nv5zMslzUZv4yfz8K+v0RREj099FlVlCESfA6tBraiKEoB4tdTQX3lVFGUtxpBR1n0i7LamWxtWxkeI/33eEvbbJgVKV9h43yKoigFSFBPWaUVq+BlGbUzUTsTtTMZCXtGQ9qoyZnPqBvN4vK+L0i0na+UCaBteLNAqYzkrdJi8oH6ebOYDOdDpX1R3ih1ZpjEI8oy4EJcLtDAlP3arOTJV1MDtLZKORMjuFQONiorgbY28Qdx2q9ZOyfbkhyh7eJmXV5mWoCmCdjRbuNcMFaDeDCizMZYXdyWlSAvRLqtFUW1tZz3cb8/8W9QbFOGOsZYMvNTpwMHHIJUdQ16nn0W3fMeQd+qVfZZ7JOGYlZkyCsQW1yUSb32GlLPPYuSqVNQdchB5AwohnTeUtnikiKMa6hCVVUZSoqLeISV3ZuBXpu8OFOMd87HVx68PatzsEre+cxDEk9ladQcW1ZystpynnKsYTxS69dZOzv5o8X6HzkmHX2UBitfZF5fe3tmRxm9DB+1M1HbYs4fMawGtqIoSgHi11PR+sviZRm1MxmqrQyPkf57FJodZaT3P5gddJRRW8StuRFg1VEY8ZD4uLML9fXnHlfyITx+mcfT5TQu5BoXj/weYHwZKnFFUZRCI7u+EnVINnRk2qasVYfGw7XGNT4S8YN37A38rPwBNclXL5E3SwPEklioDKkX4C2dslcWlwuUw6KJ8nIykKL7ebHfQK/LGFI2VCfOZ7OSpwxNvUgdZby1IKUGt0FTL5rXEPppRftlcSt+Hn4uLkBua7PDli+v5Bh1lBmPLcurLA3ivT1I8D21yGav7Mvun/O8AcU4yvdiS1JHGQU5RlkpH4ws49FldhSZN7IsVVSExD77I7HzruhdvhxdD81F35rVsi+T3EIPsSXLeS9ui8vKpNS6teh78gmUTJqE8l13oS3Y31jcgt6uTrS0dGJjcxvefKMJ69e3sN3e3oWOzm709XQj1dODlDkWfSZNrU4Fz0dPLk9Bz0qmOJyKWOWnNOuiYn568+ZF+4PK1pjjWFLC0y4OhQQ9WQZZjgz4hwJXpLQMzZupE8855L35+8i0Na5xm6Nz3xhRVRRFKUhi6ivSoFIL6rfAEbE1PtS4kg+5H9/RGY8SjYelMu2Rj0emXnT9aFF1bOt4lKFuP9riytAY6vHVeCbZ/sBjM1FVFEUpNHKrr6JOZ0fVofF4dWg8Xh0adzq9IWXWNGKFLKtmJXlRclLeqZ9ntXtjrC3ljNLCSk4Oy4rz2cqJFl+9fJJGchn66J5bZhvG+MkITMqRzwqtXJRNWoqKgKpqJNpaxM9lRHOxeUSZHQEW4MpwnlZuO2P4dlDA5ivsNI7mPUncJo7HqEk0oizJI6DsfmhtVkFcHuJ0ZTZvRnF9nfVZtyX44dwm96MUpeSkySg55DDupOx6+CH0vvoKEik6bwzBc8lCD/Kx2Di/HuuxxZ1JHmDTJqTMPqmjrKhOXt/ksg5Ud61DS/MmrFzRjKVL1uH15RuwZvUmNDW1oaO1HX1dnejrptSFXWvbUZzkPYf75uRei1vbAGFfDFtUjs4JO+2ivGZPeR2WpdFk6OtDemMzl+l/xFgYY7X3LQvLhyPKXMoo7+XLqsrQvJFeX8ar8dSh8Xh1vNXiJmezUVUURSlUBq63nBGtzKJ+jWcyWFwZGkM9vqMtHmWo249cPFGBb4fdZgVM0nzRb+27yFrAzMb/w/p1bdYaW9TvNwP7/fZD1lJy5b6Df2pzykjQk/g13jP1UFxz8JXGokqDqgrR11qX4sC7DsUVV1yB888/3/gURVG2Leeccw7uuvFOLH7P88YK6yunO926BzZ1T0MpPmBsRVG2BdRR9sg3zPd37+NJnSSZn9YofkQ2oA6VxavWY8XGFmzu6OJRSI5I6Zj9WQYpQO6iCROQnDQJ7c8sEKcjkeBN+YcUk9giH+dtnF1sIVFZheT2s4ClrwHdXezLGZomcaddgVVvAps3WScy3rM8S4h73myMv3ESUFOD1Msvy4b8BzAZ/3hkqMnU1SM5bTrannyKi9KK+4mMus4VSeSSPIqLkdx5V3S+9DJSbf202agsiXmLiaJilMyYjqR5rr7165Bas4bepImaRPvzKC1OYnx1JXacMA7T6mtMXPxBKS4vU3zy28jcnF9fcr8D0Nfbh9aHH2HfkrZKzOveGaVVtSgpr+SOrHQqhd7uTvR2tKOnvQU9bS3obt2MM3bZjHHlsh+ClR9Wbd49b1w8OWtHFE2fDjz2CLkyDnsW+x/Ix7DvBToP/ZL0/uh9ettlhr2AIOVlu/6g0YOl7zwaJ5z1PJ5+XkZBKspg9OJx9OAuLHzvM5hSMdl4Mk/EDz1yJlY1rMHCFxYaW1EUZdvy1FNPYc6cObjqwMvxwRnUPsz8B/qLFy/FD174McrxFWPJDAPK8KHfuuk3byV3ll41j9NY5tTT98C1fz2V83PvX4rjjrqG89sC7SgrQLSjLD+0o2xkCTvKroq2c/Ba2xIceKd2lCmKUjgEHWXvfT7azmHd6dbdtaNMUbYxh8zuw98u6Ih8PGM+sIFaMWZHVw/+/tRi3LHwNTz86gp023s7KW9tJtfX4eidZ+CEvXfCkbtuzz46e5hIxnVcEYn6cUjuNwdtjz+BnlWr2fdkUy1e6J6K4rJy7rijTkKaapGmZeztaENfZxveMWkz9mikHchew04wm8/wWfXzUgBFs3fiTtjE/Md4m34xryV90KHcSZZeu8Y44j8nmZYhy+HwA/EdZom6epTsfzAOOPYprFzdbb2KMjBBR9n7nsGU8in+acb6oUfO0I4yRVEKhoyOspmmfZj57xG/WHwZfvDCj7SjbITRjrKhox1lWxftKCtAtKMsP7SjbGSRjrJDcPXBV0XbOVjSugQH3nWYdpQpilIwhCPKnou2c1h31hFlirLN+fyx3fjcsYOMqIp8gLt6+vDz/z6Oy+c+g47ubpRM2A5FbzsWxdvPQXHjbKCyAYlkEW0puO0dao89u68LfZtWoW/VIvS8Og89C29Huq8Xe0yfhE8fsR8+uK+9/5jdkNfePrjTypDcZ1/0IYnWhx4Onmd9RxEWba7Cy600Ui2BVG8vUj3d2GdcC/Zu7EElz0Ape8joGGOVFSl7KM/i4hIgKdppFyQnTEDiqcc5JpgAj/AzWft60tNmArN2RO/D9/P0i0GANZtggGC/xfxA/Ii0oukz0bv9rtjhQP+1KcrAhCPKnsbkiineWSZ6uo4oUxSlgHAdZVceeDlOmnFiRn1F+vMXL8PFOqJsxNGOsqGjHWVbF+0oK0C0oyw/tKNsZImfelHQqRcVRSk0dOpFRSl8vnAcdZRFRqhEPq5+P8F/nn8VX//3g1jZvAnl+34AlUd8CqW7HRP5dKu+1RXd7Wifdw06770M3atfxnv3nI0ffvBITK2vtgWlJHdUuQ0NyfETkNh7X2y++79ItXeI02NDRwLFSaCujJ9FtncqD1FjUz4j7pTjbLFKNoGiXXZFctw4JJ6ez36/g4vKyDMa3Wd/pLu6kHphgfW7N+Crh3VndJhl4G8Xbu9bRbvujmfW1uH952iHhpI7/U+9KOjUi4qiFBI69eK2QTvKho52lG1dzFd/RVGU/nATsoiGSbyKoiiFBtVPrp6SmkprLEUpFA7akUbEWIIPpslw3lPDz+5+FB+9+hZsqJiKCf/vP5hwwb9QufsxKDaxogRUVQMtLqtE7REXoPEHL6HugxdzB+u7L/0bHn7lDXs22TWfYpInUhvWA729KKV7hcUwviIddJIJlLfJ9UA5k8QprwlyWCfnbZbwerGCXTkVAcrKgNo6YO0q/umOoC45yTslwpzL0u5ZI/mggL+NyfveVN14PPrUZnEoyhCJfv/yk6IoSqEh9ZOrrzLrL0VR3nrQrZNtdrRolFy3G22q5Eeux1c1N830+ElRFKUQiaurMuusqFdVVXVr6YzxMs0b/9hvMvzzvMnwD/niMJLAd2+di5/c+SiqDj4Tky9agOq93sMje4pNXFV1IB13/Ncx+X/nYnPJOJx8+Y24/6VlfMZR4lOMTzaB8unmJhRPmmQ9gyH7kX3xzqxar1PnYJW885kHJ4a3J4mqJEyaAvT0AOvX2ViYkjH5ZCIZ+KIpLJOZ98skzPbJ2joUV1bg3rnN9AL5Zaqq5qYCWX7ET4qiKIVGtJ5ydZVTIepVHZ4q+ZHr8R2t6si1/JZR06Rw/eTRnvNQhW0fjxKNOzuqwuiJK/kRPa6ZxzPbr3FRoT+/yaXFJ2oWayuKohQicfUVaYirw5wvtKMqaFzj8SpofCjxGeNSrGQ5JWQt/PKeJ/Dr+59E7ZGfwuTzr0dRUQnoDmQumcaL2moPaFft/A5M+tJ9KJs0Gx+95nY8v2KNOcnM2WaTPfnE3rgRxeMbwpPQ/b+IseV/CZ21bj/h/sSkiJTgWBCQGCvFKZ9Kmfa4aZCTwwXMikKcI9ekycCaVeLoB9e0F9x+JBvg52MJN0pMnIyWll488UwL2xLJVkHjGvdVICv4LLCGtqIoSqEhtVR2feXqLFHx+d6oX+OiwmBxZahkHr/Bju9ojTv6i7tSWzZu2hJhz5nkslXY9vEo0bizoyqMnriSH9Hjmnk8s/0aFxX68xuoER+oSc5WFEUpVKL1VUa9NXj9p3FRQeMaj1ch9/jMBtP4MJ/FzBEsEnf6wEvL8f3bH0bNAadiytm/zXkUkapqVCsm7YjJF96I3mQpPv+Pe/mUpLOMzzTzcIKNNHLKbDN+HKs5Ga2K+Dadp5QRT+iXGCWJhWsbILgAPyTf12da4kXOIT6jUtys6uvNm6jkjrLskV/ZScrIiLL+R4yFyY+5kWjkS0+ehr/dvI5eBL8OfjkxKmhc4746jGXOJcmSeraiKErBMXB9JdZg9Z/GhxZXhkrm8Rvs+I7WuKO/uCu1ZeOmGSE9ZqNHo+S63WhTJT9yPb6quakhTfk0X1nDfqeKoigFSXZ9JbbD5VVVVbemTm9IBflMJST/rVseQvn4GZj2sSv5/lM0Qog6Pni0kNpqD9GunL4nJn3k93jujdX40R3zzFkmi4Ny6dYWHt2VrK0V50BkfAe2al0sTnlNkMPP84Pz6e5uoKSELfG6coTJT5sBbNqIRFsre8zbsc33qEYsFtPgd26Dy3uugIyfCCZNRbK0BFf/bTX7wtekqpqLOoyd8f3L2YqiKIVIXH0VrbOcrToyquRHrsd3tKoj1/JbRpPyldklotBtR3/xsWIr+dHf8VRbGKpt4KxrcJuVU0VRlIIku74KfzCkjDNcXm1BbbW3rD2jwayNST/I+0orWn4/9xm8uHItGk/9CUor67jDQ5Om4abxh5yB+gNPwy/++zhWbmw1p5txWnhEVTqNdFsriqqqrHcA5ISVZPfD+5MHu1idg1Xyzmce4u/uNC+wGIlkEe9DkomQVlQiPX4iEm8s92KSchktFqZkbPn+tu1pnI6HH9+E5W90yWu0rzbMqy2oHW87TJ5NOq98W1EUpVCJ1ld+pUV5Z7u82kI+tpI/ccdzLNmO/uJbx+YRZbSIEoVrZ5IdHyu2JGWo9Hc81c7PdtAFNewlpR8TrK0oilJoUM0UV1+RCq6E5CWnttpqbw17ekMfiXg9pRzJ7x96FlU7HYbxB39YRge5ZGKxqnGN5xiffPxXzRr4w8PP8v8GOfno/LPnZ2cnSutrUVtXiYrKUpSUFCGZNBsTXEBwV5vzVnLyBvtjsftz8aCcjbHKVkh3UmeUyZWXi1Lcamq7HYDWFiQ2NrFvMOwrzUR2J/h5j4ztampR2lCHa26g0WT2tdu12mrnZgv8OTAme0mtrSiKUohQ9RStr8h2SN55SNUenq3kQ//HcyzZjv7iW8fmEWW0iBKFa2eSHR8rtiRlqPR3PNXOzw4wWbZIbYhtRVGUAiS2vuIVIU4xw/pObbXVHp49c1o5Lv7qLBz1jnFsx5Wf3kBibOOQESxscv6/i5bg9fXNaDzy/PA+Uy45O6oa13iO8Zrt90X93u/D3556Uc5I8xCx52dnJxIVFdxBVllZxh1m4xqqWWvrK9lHsaIiszO3FZ28hNsXJ9lfuHYBMkUpy+tWmVIRVdUstC1TW4/0xEYkl7xiNzN7GSD5I8biRo9FU1wZyndvtzNeWdKBO+6lzjnjl2fntdpq52YL5nQil3hIra0oilKoROsrv8qKr+/Uzt9W8qH/4zmWbEd/8a1jm2/70nsmiSh029FffKzYSn70dzzVFoZqG+iqGqcccr3tiqIohUdsfcUGZ2wiXF5tQW2187drqouw2y6V+NOvd8VrTxyEa365C846pRETxxdznMrNGE/3KPO3t5jsXS8sQSKZxMSDTut/hJCq6jB0/IGnYN2mFjzy2hvGI9B/CD4Te7qB0jL2+VDnGCUaZUadZvXjqtAwvho1NeWoqixDeUUJiouLuKOJ9kP/alhlr5wLnJy3WbL6+oDmZqSra6xHSO20CxJrViGxeZP1DI2gqW9ek+QkbzOiHuRJ1zfwaLJLfuuODb1Klwi11c7FFqLfv5ytKIpSmGTXV1JjuXqLnZIN8moL+dhK/sQdz7FkO/qLbx07KV+PR0vyiYuPpaQMnbjjqCn/ZHENbWpcc8iLKYqiFCJefcU1VlBvsVOTJk0jnF54qR0nfWwRdj10Pj779VexbkMPPvfx6Xj2vjn4x1W74/hjJuDQnVLmo2g+ky7RQp9Nk+a9thJ1ux2F0rKK/kcIqaoOQxv2fJc5V4Enlq5kJeQ8NPT2mULUpZYbxSVF5lwtRnl5Kaqry1FTW4G6ukpUVZVxKisrsSPQaArHJE/jyM8kD0lmldqwHunGyUBJKVBaitQe+3A+ufRVfp6RgD9jVuV55XPnJ8zaES+/0obb/yujyTRpyi9Z2JTzjdTZiqIohYmtn7z6Sjyu3mKnphFLSn7EHcuxlhxxsa2XTNOBesul16zQNZPs+FhRScpQ6e94quanDpmnWRJfXWNVURSlIInUV0H9JUFOtKiqqo68trT14rZ7NuDL330N+x/zFN516gIsWNSK//vWLKQOORzYcWekyyvo4ylbGO3u7cXLq9ehZrt9ZfTPWExNf8GLZyXw5qsxsVcvxsNnnYwNTTExTSOWKhumo2LcZCxauZ5OPk78/8Fk0dsDJKmU+HyGYhcVS6dYaWkxyspLeMSZpFLWsrJilJgYlaNpHBOr3+TRbH37H4S+OYfw6LLkwmfN6+m1exze6yEGs1ONk/l5L/r568aSz7Gqan5qMecYnWcuOZtUURSl8Misp4L6y9Zros5WHb4q+ZB9HMeiOqL+ratJ6i2T/vLC10yy42NFJSlDpb/jqZqfOjjnXRXoVFEUpSCJqa/CGotyZKuqqm4NXfxyB37w89ex2zuexF3/eg2oqUHioEOR2Hd/JKZM468TqzbJvZoqJ26f8+ig0ajmgWQ/cSIZ41cdWS2duAPe3NhCpycnKwBNg0gUl5hzkj0BI2WT0ugy6iCj6Ro5mcZ40TPzkXztZb4nWdGz85Fos/cus+T7fI4B7dJS9M3aCf99sBkPzqOpHjM/v6qqQ1OLOcfYilFFUZSCpL96i7Kco7XqyKiSD9nHcSyqI+rfumqaDdJnNho0Sq7bjTalnDJ0cj2+qrkpQTlOfEVNpiqKohQicfVVWGNJznlUVVW3np73wyasuO8Z4On50jGxy9uAQ96Blqo6jpca5dE/pp0yFtUIp7g4QR1lcdupjpyWVNRiU1ePsQQ6M/nsdCO4iqjk1iexbg0Sq1cCnZ3Ws3VIzd4VXb0JfOmiJcHnVFV1OEr0+z3MqKIoSiHSb71FeZtTHSlV8iH34zu61ZFr+S2h3FEmPWeFr1Fy3W60KeWUoZPr8VXNTQnKcbIuUt9WFEUpNAaur8TItR5UVVUdOZ1Z34fPXFOMFctbkVi4AIlnnwTaWpHefhbHi8yHNRgB5NIYss1DRo35ieL87qUjJ2P7Vy/G3WckwvTLv6DPi7f8y/j+/ahoUO5krG3O3nbZq3a7Iew/q/wYsHk0lbSDGbKNB+lUShw05O8tQnpCI9IN4/G/31+K9U09wedUVXU4SkS/fznbK6IoilJQROsrZxO51n+quaqSD7kf39GtjlzLbwnl1kBmDxqts3vUQt128Sjx5Wgd5x89cUnKUHHHL/64anyocSLwsEs0tBVFUQqP+PrKVVqi5M9WLu3ZGte4xkMdXvzQWR144gtv4ObzViDR2gT0dCHd3ITEc88ALy3mchkjqlwi2/eN4rh54OVvJfCfD3vpdJO+/U0TyXz/vfNONn7g7X9L44S/mmT07TPPxL2X/gW9VM4m/P1QNO8pcS5z2k149kKzz4VHBb4TvvcDvPztk7G6eej7919/YI/iuHkYzHkpp6z5/2DP0j4ZUZYuSortEf3OOybi5eXo3XEX3Dt3I/55+zr2xn1uQ9W4xnOLE3TOsYddohwPiyiKohQU0fpKbIHrr36V1hoP7VziSj5kH0dSWsf5R2/c0V88U7dMnDvKMnvQaO3bhROPEl+O1nH+0ROXpAwVd/zij6vGhxoPcXZUFUVRCpX+6i3Rweo/jWs8WzWeb5xGkt147mpyMDPqupFo24hkywYkutqRaKF7I4EbJf7onyBFRgVlpdEQN+/NZLHbD9L44A2R9IMf0Nv33v+jWPGrm0zZb2Ci297oxCP+jKmP3YimJrGpAwinzcPbdnHbmTJ70b5+gMNPPiTwFU+Yham4CZ12u1z3H6Rc3l+c36UCissV4pRxYs/SPjuirKhEbA//qnJi1MeTSXTuvBeaN/Xhs9981ZSnAsGR6Ec1rvHc4iHOjqqiKEqhEl9fxdd7Tmmt8dDOJa7kQ/ZxJKV1nH/0xh39xTN1y8RN04F6zISwB00oNDvKSO+/UGwlP0bq+KvtQ5YkiftJURSlEInWVa7+ConWd2qrLSqoPbL2L06iESv90NnKnWYENUqCUUBjUM2j3/uQEcH737AU1HW46JsJ/OtDXrrgTKz0ynEjLmZ/RMbzjJ+FBvI5O8f9R/c7FtSIwZ2Zcq6y1d3FNkpKRMcwqZ12BSoq8KELXsLGTb3uCNh19udXbbVFhcHsEPJQVDSuhKIoSuHg11WZdZbLDbU+VHtgWxkaI338C9V2jNT+8rFdG4sJe9CEQrMzSWfFx4qt5MdIHX+1ffovrSiKUphE6ylXf4UMtT5UW21RQe3c7S8dtRGHzepkOxYa7mKHvBSZVknGCKAxpubBDa+sOAUM/vtP4CQccnkap/8jmm7EDhOlHHX+EBn7ExfHfL95hPdHM0Yu+8/Y7xhRIwZZE5Rji+5R1t6OdHUNWWOW9PSZSE+chC9/bykWv9TOvpH8vIuqLSq81exMBo4qiqIUDmGtlqm+R3JqC8O1laEx0se/UG2COq1Gan/52KbJID1motEetahu23gmiZhyksv2Ox0dcSU/CuXvN1bignhpHVVFUZRCJK6+itZYzg5Vctl+pxoXFTQeVY2LCk5P27cFXzyy2VqDQ40SHv0zRhM1vCjFxYjg/Y+fhfG4CSsWr84qF01ELr6M5x7C/sdaomMQnqGSYyttzuKe7jE9oiw9ZRpS2++IK/60Cv+4ZZ33eZVcaEdV46KCxqOaGScoL0mioSqKohQe8fVVWGO5XLZKTuPCUOPK0Mg+jpLL9jsdnXHHtnx93FEmjQZSyYV2VLdtPBPqYRRClVy23+noiCv5USh/v7ESd5Dtl/VtRVGUQiOX+sovIyq5bL9TjYsKGo+qxkUF0hn1vbjspPXiiCMYSeaSHfFkWiZjNZkHkhGfS/z+A/sQ7PL5k/DGZVOw6FW/3Gq8/ouL0WxtHlEWc8wIHp3mJXIPdf9jMcngRTnfiIRxiMuse3pMobHZUcadZDvujGtvWIPv/nQ5+9xR2Bb1Q6ZqXFQY7XGC8i4RUVtRFKWQGKy+8mOZKjmNC0ONK0Mj+zhKLtvvdHTGHdvy9SWptyzsOZM+tUK1M6ERZQOXH622kh/9HU+1haHajjRdZSsZiTtbURSl0DCVU2x9ZdSHvBwXU2211WYVhmtPr+/BjeeuspbxhwVD/LwlaVLcKKCxkrjhFfG5RPix6rffiHN/9AM887UErj3ZpSl4aOZRmGzLUHnCbeMSEX0esoe6/7GYpBFsTj46/0j8/xE9PUiXlGSdmpF/H6Munpo5izvJrrlhDb7+w6UmPvDnV221h2MTbJsTk31Wtf2oKEqh0m99ZZSF16Q2Lqbaw7SVoTHY8RwLtk8u5beUTRdvej1n0qdWqHaUwcqPVlvJj/6Op9rCUO0Aufw2WxVFUQoNVz0NUm8NVv+prbba+ds0kmzGuF5rGX9Y0K5MYqdoaTF1YRh6OmXkj3EHaazYE87AMTelsf+uXszFd/kGPn7TjdhlgrVdjPz/SpuYlz50SBCfelqmzWlX2tc3MNXZvL9DsD899y7OtmmQ/Yfbjx071dOFMjrfTJ5PP14ob9YdHUB5udgekX8foyqe2vltSM/cHpdd8Sa+8cOl7It+XtVWeyTtAHdiRlVRFKXQ6K++supqr8HqP7WHZitDY7DjORZsn1zKbynbNB/8HrTC1ii5bjfaVMmPXI+vam4awFfSpPnKGo46VRRlcObNAy67DPj734FNm6xT2WJw1eTVUxn1V4izVFVVR1a/dFQzDp3VKY4cmVhVztq50d4zy7RQgqS22iNodzavRGN1hfEK7upR/l/RshkoLRsb9ykrLkFqz32RbpyML160BP/3mzcyPqeqqltKBWNlfP9ytqIog/L668Bf/gJceSXw0ktAb3jhkbKFyKinQnXtR1mrjrQqQyPX4zra1ZFr+S2h3FFm2g28Fi1cO8pg5UerreRHrsdXbVkPZgfwlTQmbtXZiqIMwte+Blx4IbB+PXDzzcAHPgAsW2aDyhaBqyavnsqovxxDrw/VFtSWtdpC1D5sVie+eORGa8VhSlJh+jxapez46go0VFVi44pFGaN/NGkayZRM9aJpxUvYsbGBz0bCv0dZuq2NfenqGtbhkDKt7NVtSXT3WcdWJF1Zhe69D0BrcTVOO38x/vavtezn92nWomqrLeuRtgWjVLlT3KrYiqIMyAMPAJ/6FHDHHcBzzwGnngrcfrvcQ1PZcmTUU6G69qNbi6o9MrYyNEb6+BeuLYzc/vKxg3uUuSvqCtn2yYxJfKzYSn70dzzVzs9mjPAczZFkVhJXFCWep58GHn5YGjzf/z7w+99LRxmpsuXop86i5DAW13BhUltttYdrT6/vxY0fk/uSBR83q+Hnz1POmm1JzeqAGeOxZvFDmaOAVFVHUFcvesjk0th35iQ5/+g0NOeenIpm3dkB9PYgXVVNngD//wcxkP3qpjL8e/l4XLZ4Bv6ydCp+tXAybnipBgvX0asQhrI/Yih2etIU9O49B8vWpHDkyc/j4Sc2ubdqk7xftdXeUjZB52RcUhRlANatAx4y/6eOOw64+mrgV78CLr0UuP56YPNmW0jZEsTVVy5xnBMtLq/2cG1laAx2PMeKHZJb+S1lB/coGw3JJ2FeflyZsZCU/Ig7lpryT4w13EWA7iKbsICiKLEsWAC84x1AVZXYpAcdBLz4otjKlsHVV1H1sG5NmjSNYKL7knGGbKuhbTJxiQrY/D7TJmDj2tex9qVHw/tKqaqOoC6bfwufj0fsvB2fenz6ifA5yKmlxfy/zhxRljkiOd7uTSVwy4pG3Nk0CyuTU1FWO86kepTW1GFVqgF3vjkef1pYgY0due3PJyc7WYTUrrsjtdOuuOehTTju9Ofx5qqu4P1p0rS1EsGnqEnuVHW2oigDQDOQUMfMbruZf1rF4qO2JE3F2N0ttrJlcPVVVC3WpWkEkzI04o7hWEw+cfGtlYIRZYTLF6qdCXWVDVx+tNpKfvR3PNUWhmoz1iEX06RFXVIUpX+qq+WeZH123qVUSq4GrAjvjaJsAVx9FdVIpWVDgVdttdXO3/7nuatw6KwOaw2Cv6HhvlfexBk33IOf3PsM24vuv05GALlkWitqqz1cO2n+B79w37UmBxxyyTW4+PZHsHxDONqK/1GYlG5tyRpRlgsPrB2PFZiM0hrqHKtHGWl1HUqralBSWY3iiiqs7q7Cba+W2i1GDppqsWvvA5Ce0Ijv/N8yfPT/vYS2jlTwMXPvUW1B7S1rE9HvX85WFGUA3P0xaRpg+fBIW7KsDBm9NsrI4+qrqFpc1obUZmv4tjI0osdvLNo+cfGtZSdpJkapdkUL2Y4yWPnRaiv50d/xVDs/OxCXaJVhK4rSL3PmyP3I7rlHRpE99pjkjzjCFlC2CH4d5SdZWbLrO7XVVjs/+0tHbeR7k/UL/bjjX55rUncqjasefxEH/e5fOOnqu3DX4jfQcHwZag4qwbN3XI6WNa/KKCB/RJDaag/DfuqWn6OztRkTTi1H7859uPSexzHnB3/AOX+6BQ+8tDw8T1tbgcpKHqGVK2s7SvBy71SUVdehYWI9Jk+px6TJJj+hFhU11FFWhZLyChSXVeDNjgq8vN5uOAKkJ07iqRabO4rwvjMX4qo/r8n4fEpObbW3nh2IS7QK8oqi9EtjIzB+vLQZn3wSeP554LrrgAMOkP9LypbD1VHRZJFsdn2n9nBsZWhEj9/YtEPi41vLToZzMRa++ogvvtxoVyU/BjuuqkNTxgjPzWwS+0itrSjKAMyaBXz0o8AttwB/+xvw738DNTXASSfZAsoWgaomr57KqL8szlJVVR2eHjKrE188spk+YoLVwCakMJNKpXHp3Ocx+yd/xZdueRQritow+fwK7PTnWkz5RCUmnSMjbude/+3MUUGaNA0jta1/A3P/8h1U71uCSR+pwMzvVGOHX9Zy5+zdLyzBqZffiGN+9WfctfA1HlFG+KPKMs5nQ8TEi6213AlW31CNiY213EnWaLShoQq1tRUoKi1HsqQUyeISJIuK8fyapN1SGGz/sfFkEqnZuyK1y254/JlWHHXK83hmYauJZX9OVVW3pjLmpI1tP7q4oijZ1NYCRx8ts4/8/e/AX/8KLF0KnHlmOJW/smVw9VVUXZiT2Kojo8rQiB6/saoh8fGtpcGIstGgPuKLLzfaVcmPwY6r6tCUMcK5hPV4qijKIJx6KvC//wu8853A6acDX/oSMGGCDSpbjJj6yq+xyCJbVVU1f51Z34ebzl1lcsZHDs5YYTUrytj023mLMPunf8NFdz2JxGyz/Xeqsf2vqzH+xAoUVRYhUZRA+Q7FaDyjAgsf/CueufP34eggVdVh6J2XfwY9ne2Y/NFKJM15Rqlyx2LunN35+lpM/p9KLGpejzOv+jfe+9Mrcd+8J2X6ZEtwflsiJt7oqkVRaRlq6yowcWINjygbb7S2rhKVVWUoL5cOskSROc+TSSzZSN13IYPtPyteUorUXvshNWkKLr3iTZx2/iI0NffydtHPqarq1lbGnLSci6qLK4oSz667AhdeCJx2GvDe9wLf+Aawzz6A+f+hbGH6rbek5iJLdeRUGRrR4zdWNSQ+vrU0GFEmfWdhD1oh2lEGKz9abSU/+jueaudn89oI++0VNb4qipIDO+wAHHUUsP/+en+yrURcfZVZY1m/VbXVVnvo9qUnrWVrQEzBPzz+Inb9+Q34+n+eQPe0FGZ8sxrTvl+FmgNKTCvENEiCZBomJlFnBo38ufXXn8Sr82+XUUGmxaKqmo/edcUX8OJjN2PKxytR8bZivkSUzjs59xJIViTRcGIZdri6hkebPfvmGpzyqW/hhB//Dg+/8oYpODi9KXPuJhIoLk6iqrqMR5RVVZWhpKQISTqvzVMy9L/IpO5e+STlQ7q6Gt17z0ELKnD6Jxfjkt+8gb5U9udTbbW3lc3rfr+HyVpRlAFoaJDpFt/+dmDyZPP/iv5pKVua/ustV3NZv1W1h2srQyN6/MamHRIf31o2fX23fWYuJ0sh2lGicX8ZzbaSH+ERHN7xp0VtSmZthC3byo/aiqIMAN3rZN06axjWrgVuvdUaypZi8PrKr+24RMaitm+prbZviX3ZSetx6ED3JTNl/vT0K9jrVzfii7c+htYJvZj+1Sps95Nq1B5cyiN6uJMimeSRZGx7ut03alCxXSmuu+h4vDjvJhkZpEnTENMdV3wej/z7F5hwUgUmnV7F51eQqAXs22YDun/Z7GtqMPGMCjy68BW879K/4pQr/4knlq6053U8U0pb0NfTjY72brS0dGHD+la0m3xXVw+6u/s4pftMSkmaWdtntxwadD+y1D4HYOmqFI4+ZSEefmyz8dKnMlzU9i21t4VNRL9/OdutFUXph+5uoKkJ6OiwDgNN4d/WZg1lSzFQ+9HVb/6itm8N1VaGjn/8hnv8C9cOcRFZtrZtR5SNjsUn7O0be4uSH/4x1GX4Cx9TI2xRhtW3FUUZkKeeAn73O2sY1qwBbroJaG+3DmVLEF9fhXUW+3TRRZe8ltP23YzT9pH7OBlTxH0nMPLo8rU44g+34TP/moemqi5M+2IlZv60CnWHlVIbhEePuZFkrNI2yfCXTEhihx9Xo3KnUvzpByfj/r/+IKfRQ6qqpJvXLMe1330/Hv73pZh4cgWmf7aazy06zzjZcy1Izm9SoiyBiR8ux+w/1nDH2b0Ll+LdP70eX/z7f9HW1WMKeee7ZceKTehua8HaNZux4vX1WPLqGry5ognr17Vg48Y2dHW0o6erA71dnejr6sKu43vtlkJ0f3F2etoMvh/Zo09uxvFnLcQbqzrtJ1IXXQprkXPWJFr4XCYVm9aKogzA6tXAv/4FLFxoHQa6V9kqmepa2XJE6ytnc0yXEV6UoeIfvbG8+Pj+rb0EI8pkoTaCvxSW7SOxoW0/WmwlP/I93uGidqblcPmoKooyIDRVxsMPW8PS1QVs3GgNZcvRf73lajhX18mitm+prbZvOZvuS0ajyYKLbK3SVbe9qRS+evd8vOeqO7FofTOmXFiJmZdVo/7IciSKZORYkHg0T5JH8mT4rJ9S2Yxi7PzbOow7uhx3Xvct/OpzB+PFx2+R0UKmalVVjSr6uvDA33+Mn3x8Fyx67FZM/2wNZn6hRs4zc24Fo8fsuZedrN+ULapOYtI5FZh9tTkHjyvDVQ8+g72+/3v8ff6ijKvMiR3rujEptQbtzRuko2zJWry+bD1WvtmM1uZN6GlrRW9HG3o721GW7sABM6lLLyS6v6iN7WYhNWs2br1rA045bzFaWvv48xgu8vkMF7V9S+2ta4e4fFQVRekXqv9ffx1Y6Y1kJh9dbMkdN8qWJb7e8mu4ME+L2r6Vu60Mlczj55axZ/uMxP58ayh2ZERZtNeusGwfiQ1t+9FiK/mR7/EOF7UzLUK8knN5F1MUZUCmTMm8ArC0FKipkSk1lC1KtL7KrNVc1F/U9i211fYtsqfX9+CJL75uctnc/MJy7Pmrm3D5w4tR/65SzPptDRqOK+PRYfT7DifKU0dYkDcbOh+n0C9JOit2vLgO23+jFqubnsFVF52In164D+674cdY9dozPIKIOkj8EUVqv7Xsvs5WvPTknbjx1xfiG6dNwG1//Bqq5gC7XduASWdUmnPMFLTnlH9/Ms6bR2h7fqNSHigZl8CUCyox86JqdJjPwPnX3IZT//BPLF2XecHLOyZuQHLzarSvX41Nq1dj45o16Gheh46NTeja3Izulk3oa2/BCbtkjiYbjPT0mUjNnIW//XstPvGVV4LPo/tkyqK2b6m9bW1BvJJzeRdTFKVfqqtF/akWJ02S6fu1o2yLk11fibr6TSL+orZv5W4rQyXz+Lll7NkhYocxWraenajARWQXPHR1X2vft60FzGy8BOvXjc3pq+r3m479fnuatZRcue/gn9ucMhL0JH6JY6ccjKsOutx6Qpa0LsFh/z0CV1xxBc4//3zrVRQlA5picfr0sGNs6VLgssuAE08EjjxSfMqIcc455+DOf96J5457ynoy2f32fbGpezpK8UHrURQlV248dxUOneXdM8OwcnM7vnrPfNzyzHJUTS9Gw0fLUXtQCag3jDrEuMOBe8Y8pQ4Ia0sZ67eJVs4vduhfc0Mb1t/ahbbFXcYBlJSVY8KUWaiqmWCK046Vtwq9vV3Y2LwSTavCztuGd5Wj8QOVqD2kjFq6SKekictKDzKdn22n5DfN4pSNU558xs4oY7Zb+7dOrPtLB7dLv/eBI/CZow8wAaGrF5j3ZhmeXF9lzvMis00Kqd5e9HV1Yu8JnThse9PGq6CTOTfSjZOQ2nk3/OOWdfjct5ZYr6IULr14DD24E08f9wSmVEy23pAz552DNePXYeEL3rRyiqKE9PQAP/gBMG0a8PGPi+9b3wIaG4ELL6QfRcWnjAhPPfUU5syZg8sP+DVOnP5+6w257KVf48eL/g/l+Kr5Olpuvcpw2e+3p6J+vxnWUnJh6VWPchrLnHr6Hrj2rydz/sH7l+E9R13L+W1Bohzfoa/+BQ81SNr6vmMtYAZ3lI3Nm1qOM5WGdpQNnXsP/pnNKSNBb+JXOHbKQbjywMv5hyr6ocDpkraleLt2lCmjCf6xyyTXwEjRL2IG3/Z9I9UQmTwZWLzYVOzjgDffBC43n6e99wZOOcUWUEYK11G24LgnM+orp7v/Zz9s7p6OEnzAOBRFyZUvHdmMLx21Mfg8UVV6w4LX8LlbH0Nndx8mnFKOxnMqOBZ0bgUdXZkdX35cylulKte3B/B3LO1Fy9NdaHupF11v9qFvc8q8JrN/UzSDLIfB+sIQ7dRmo/TnV4YGnTdxcO9TJBxXNuKjzRKlaZQ0FKFiu2JU7V6CuoNKkaw2fzAT4w4vKhftECO/b2f4becY29bPtnSgBXmjnUt6sf66Lmx+qhv7z56CK844HrMnmf/xFiq6dEMaq1vSmFAJbN+QRGmxxAiK+6cW7ZNObwfHy8rQu9/BuOeRTfjIZ16SgKIUONRR1ou78NRxj2NKufn+S+e1O+GNnvXoR7SjTBldUNuQv3+YRJW1q7ApUcz3UduRdLj86EdAVRXwyU/KbCS/+Y3cu+yii4AiGkutjBSuo+x33FF2AtdTfr31S+4ouwRl+F9jakfZSEG/ddNv3kruLLlq3luio+y6v8pvZA/evxTHbcuOMn9EmasX+mNbxnMZUVbIr5/INa4jyvLj3oN/XhB/v/4YbXEZUXYQrjzocva7OOnS1qU6okwZXdx2G30bBj72MfMPZCZwySUy4uvb5v/K8uXAD39o/iM/CJSVASedBJx7LjDDfIEbboNn//2B664Ddt8dWLcOuPpq6TTTz82IE44oezKjvnK6++3SURY3osyV6w+Na/ytGj90ViduPNe7V4bh63fPx28fWoy6XUrR8PEyVO5cbHZgO8K4Y8t1kpFNK3JZjXZ8BXG7XVycXDEdZhKP+vspZxIpZcIyYvtxV14ZYcxJRr8lSj7slBI/rXyN+l1ZN9LL69Ty/WybldexxT4qb0zfz2r3Iz4pF+yDba8s284v2nRXF1b/th1VFaW4/Mz34oR9djYFR4bU7nthc3EdDj1+ATZs7B3wlDQvReOSjUXjWy8ejih7HJMrJrPfxUnPmqcdZcooorkZ+OUvgZ12As44A3j0UeDuu4ETTgDe9jbgj3+UNh5Ns0/tvK9/HXj7280JP9AnJgeoY4zuaX3eeUBdHfDPfwL//a/4i72rLpRh43eUfWD6CRn1FamMKLuk3xFlfv0Xh8bj4zqibOjEjSgr1L+vY6jx6Igy6ijbVq8vSUFqPpBKLrSjuu3jIfHxTDuqoyWu5Evm8YyqxuP9TqPxAGOwHVVFGQtQZ9mll8qUFo89Btx6K7BpkzRKKDZcaOpFGklG0FWBNPf8hg1iK1uE2PqKVwJlXT0X1neZdlQ1Hu93qvF4v9PRGqf7kvmdZKtb2vHeP9/FnWTjjinFtP+rsp1k5kEdVtxpRYbNUyeX85skZagzTPxkh0k6yTjZ/WXl/TL9+mT/mT7zvEXWTxdjk49ucmVtf7sBW1RK/nh/R/9vH54XpPZvZH1ROyxr/1ZRPz9Hpl+SKU8nkvNTOZPcfvgco2Tjvi3b2m3YDtO4Y8uw/U9rkZ6YxllX/hs/vONhExg+6QmNSI8bj29fspw7yfr7fDrVeLzfqcbj/U5HOk6wmlVUFWXMcMMNwJNPAldeCSxZItMifuELMvJruFDnGE3B6NqhNDvJSOxXGZBofeVXWa5+i6rkNB71O+0/rgyVuOMouWy/09EYzyQ77uuWjFNzwnz3p6Xw1SeX8qNVlfyIHkfV4WmAM6KqKKMNuhEydYY98IA0agi6Yo+uEPzsZ2Wk13bbAcccA7S0ACtWSJnhMHWqXGlIlJait6oKXdpRtuUZoN6ibLS+U1VVzdabzrN1l+G+V1fi7VfchnkvrsHkj1di6mequLMp7MywyfiS1k+zQfjJ+VipTFEyYzvZn/GR39m+3y9nkuzDxjy/pMz9uLKkQSo2Pvv8/IaVrQJ1Wrm/pfxdkkaz/4b+34zV/J2pXPD3C5Jsy3mzX1JXnp4ntI16tvvbc74fm7cxef/89fdTuUsxZv6sCnWHl+Int83DKX/4JzZ3yj308qVn5o6Y9+Rm/P3m9RmfR1XV0aABzoiqoowmqJ1IU+hT2/Hpp+ViSoLsk08GdttNRnm9733AnDkyO8lwqa2lG3ECHXJf2PSkSWhfs8Zk5KddZQvST30VredUh6vKUBn4eI4d9YmLby3NGFEm6paof9vHfeLiom4ZvXElP9zxk6X/4yuLxuPVLSEyBY3xRVRRRh2vvAJce61MXfHII+Kjc7m7W0Z6OWj6RbqEnBopw2TtjBlYZjvc0iUleN08z4PNzUi5+6EVAvQ+adTbyy9LZ2Jfn/g3b5bpIp29fv3oGA3n1VMZaqGc8cSoWzQer27ReLy6ZWzEaSTZjDqpA3/9yAs46dp70FbWi+0urkbD8VRHmkDClJYWBSc38iZMXtyNxOkvbhJvb1ommaN+PLV5Z7tYdBSQG/mToTbmtuPntPj1A6H2VrTp70Dngf07+Snjb0flbD74G7rkxyN2dHtns4/y5LO2v31W6s9vXnuiLIFpX6xC49nl+O/TS3DYJVfjsdfsSHLDUI5HumECiirL8cNL38j4PIaLs6PqFo3Hq1s0Hq9uGX6cMec0n9dRVZTRRlubTLdIbccbbwwvfqQOtIoK87+B/jlYqIPLdm4Nhzaznzd6etBmR5SlJk7E30wbrHsE2qUjSlOTtB1fe02OB0GvkdqOdMEpQcePbBcvULj2itZXpF6c8vHqFo3Hq1t8vzJUso+rU7eMjbhPGKMlt+1HKp6k7/j0TT9U+eaf7Xe6LeMh8XFSysX5nY6GuJIf7vj5xzOqGs89Lsj9OoyPQ6RiK8qo47DDgN/9DvjHP4CzzxZfSQkwe7Y0gqhxQ1cKLlwo/vHjpcwweHrqVFy/UqYuSxQXY0lNDf7e3Y32kZjWcSTo7ATuvBP4wx+Av/0NuOYaYN488S9YANxzD9DaKmVpfny6grLQiamv2LZI1viylHJxfqca1/hbI/6lozbyvcnI+N49T+Obdz6F+gPLMPNn1ajeqwTByBtKNNrGjr7hUTZOyef5g+T5g9E6lFw+bhSQLcPb+X4bC5MdleRvH1EezeRXCAa1t71NrvDvSX/HZPC3dynrnCD1t8mwbd4fbejFeV8m7+/L7S9zvzbvJ1ue8v52E06twMxvVmNtRxuO/9Xf8MCLy4L35zOQ3TFxOha+2IZnnqf/u2a/7CWlnG9HVeMaL5S4gT/TxmL1bEUZbTQ0AP/v/0nb8eKLgV13FT/do2z+fJkSkS5+pIsxqf1I9yobJitra3FLby+W2k63ZF0dLjP/y9ZTx1ShQG1EajNS2/HPf5b8xo3Sjqa24wsvSLlXXxWbOssKGK69ovUVqYQNLh+nlNP40OLKUMk+rk4pF+d3OrrimWTHs3XLxHlEGSEqPWiSk3Vh2SG5lR+9tpIPI3f81Q6hK2ok+Xm/hKJsW+h8nDt3Ln7xi1/gxz/+Ma6//nq8+eabeO655/Bf6tyxLDLJTpgRQlcDnnkmcMcdwP/9H/DTnwLLlwMHHABMnGgL5U/RtGl40t2jzFBmni9RVoZmukH0toY+xy+9JDeiNq8TBx0k/ltukSsE6apJUhpxR1AjkK4aLHDi6iuyHZI1Pla11Za12sIhszrwpSOlfvrmPU/i5w8uRP27SzH1G5UoqjPNB3pIm4I1yMeOxjEr4wtG9VCe1Ob9+z8F27Jf8vxDBW0T2BQz25jk/C6JX8r4fte5wftWRgXh+RH5G1qblf6e1s/l7TaxicrauGxLhuQ5uTy5Oe+dS85HGlNeClgxvuoDSzDth5UoGZ/ASb/9J+5dvNQUypHKSpRNHIc//nV1v59PtWWttlCYttHI968gb+OKsq2h83Hp0qXcZvzJT36CX/7yl3j66afR29uLH/7wh7YUQOOiFko2k5NOkhFVNNKMyv/+98D++wP77GML5E+ithav9/Rgg72okv5njZs6FW+MxC0BRgJ631dfDb6QktqOe+8NPPywjLijCy2p7ejuqUazkZDtLrosUKh2yqqvKNk4IfnQp7as87WVoTHY8RwrdiYjv/9cbWp2yPd8TrQUru0TFx8rtpIf/R1PtfOzHfIjAa1EA1tRCoQHH3wQf/jDH9BjGhVVVVXo6OjAxo0b8eyzz+JOGi1F7L47rnvzTSx1V+MddRRw3HEycozuSXbaaXKz5O23Bz70IRl9VlQkZYfBtGnTsNKOKCPKy8tRWlrKr2+bQ1MqPv44MGsW8NGPAsceC5x7rrzvRdStaKBOvvvuk1FndFXgKCC2vvKqLMpG6zu11VYbmFnfi5vOlWmFvvrf+fj1g4sw7tiy4H5k/kibIB+X7Cgcf7SNG8GTlcjvynvbOX/G9ll2OIrIxd1oJLdPfmPKqCT6t/XPC7a9fEayoxJ9H5elfXn+4FyyGpR3tpeCMpF8NFGsfGYxpn6nEmWNSZzy23/ivy/Ye6IOQqpxClpa+/Cv/zTZz2Xm51NttUeDTUS/fwW2jSvKtuaNN97AP/7xDzz//PMoKyvjTpH169fz1Pjf/e53pVBFBV5/29tw9VNPiU1tRGo7Tp8uI8c+8hFgl12A+nrgkENk5Jlp4w2X2tpabtNSe9Yx2bRRVxRKRxm1EekiSrrQlNqOJ54IfOYzMrKMoA4+up8btR1p1B1N5V/gUN2UVV/RysJxTpn1ndr528rQiB6/sWr75FJ+S9n2HmUuSQ9athZG3CcuHtpRHV1xJT/C4xlVl6J+pxqP8zvclTXklKtrrK0oBcLvfvc7vPvd78aFF16IT3/60/jwhz+M7bbbzkYts2bhZdMAanFzptNVf24EVWUlcPTRwCc+AZx3HnDggTLSbARwHWXuM0MdZdQgK4gRZTRVCN1zbMaMsFNw3DjpPKQ55QmaKoMaO9ShVigNtEGIra/48POK166eC5Ozo6pxjb914r84aa1ZA/9713xcPncxxh1XhikXmvqRWgxUwrUe/HxWSvMPDC6fFfdG5bhyrHE+57exwWy3H1YPW/2GRGyN24yj0OIm+X9bHu3l/c055mm/ibbxtvM1M2+e0fMPnFzZzG1KpxVxZ1n5lCLuLLtrYTgaO/L2gvffO34S/nXHBnR193GZMLnPa1Q1rvHCixPR71+BbeOKsq2h0WPrTBvn7LPP5rbjJ0wb8EDT/isuLrYlDKbN1mraky/R7BvElCnSdmxsNPW8qeips+ycc2B2AJxyyohM2U9QR1lfX1/GNP1TzHNT515BQBed0nul9rNjxx2BNWskT6PKaBYSajsuXhy2KQsYqpuy6itaWVz9FqpLUb9TjQ8WV4ZG9Phl2lEdvXGfuLioS1G/0+HHk/R9nhCVHrRsLZR4SHx8sO1HS1zJj1yPr8Zzi3tkFgxVUQoAauwcf/zxPJqMrv6qrq7mRNx000047rjjOD3yyCPsywnqQKLOLOpMGgY1NTWge+64DjrqKKNUECPKzOsCdSg++yzQ0yM+6gyjBg7NyU9Qw4caf2edBey1l/gKnX7rK8m4dWY4Wv9pXOPCWyV+2UnrcNisTnz1zvn4/cOL0fDeMky5oDJjtIwbMRP1ucQxf+ROPymIDXVUj79v2tZuz8ltR2/IvTkL+3w0nsGoiJvE54E9B4K8Tf654c4Fd065WL/J256S206SfV6b/Bj9C/VjfBW6Z5dNK8K0i6pQNb0Ep/3uRvznORmVnfV2jSNdXYOiijL85x4a9W62l5BVZ0dV4xqXdWHFDZkFQlWUAmH16tXcRtt11125c4zaZvX19aZep6spaOCYtB0/97nPsZ0TNFPH66+HU9bnCV1QSbOP0IgymgqSoI4yuq1AQUAXWC5bJvckc51J1MbeeWfJm+OKd75T2o7velfYpix0Bqy3cq3/NJ5rXBka0eMXf1xHfzyToW8/UvHIPcoKXx25lh+tquRHrsdXNTcVjMUPUWcrSqFADZ2mfm5wfNhhh/Fc85R2H+gGy/RFnzrGbr8d+OxnZToJmjKiq8sWyA9qcI0fP56vWiTciLKC6CijUWQ0xSRd6UdXQ/7iF8B3viP+OXOkDDV2aKoR6jAbLQ0drqJcPSUaXh/k1qqqqk4/tG8LpysffxGXP7IYDe8rw+RPupFkRoy6zoq45McyytnRO37Mxd2IIE4x5bLuE2XLsLKfDMkH2ytvCagTis8P+pv7if2S5/ODzxNr+3mrGedONEZ5jplMpAzH+slHfSWTk5h6UQVqZpbi49ffhqXr4//3pyc0orWtD488IVNU5fK5VVUtVJWMWfFD1K4UpSCgjigatdVJFwfG4NqOn/rUp6ynH+iCyueek3tc0xSE3/iGjLgaBvT/i0aV0Wvrtp1uBdVRtttuwE47Ad/+NnDZZcD3vw/8+MeA61SkmUlo9B21HadOpZ4/8Rc0MfWVU4vLqY6MKkMj1+M62jVKrtuNtFKTIvheT/h2NBFxfpeIOL9LRJzfJSLO75JPf/E4v0tEnN8lIs7vEhHnd4mI87tExPldIpwq+RE9pn4i4vwuEXF+l4g4v0tEnN8lIs7vEhHnd4mI87tExPldIuL8LhFRWzAWP0SdrSiFwqmnnoqvfvWr3ICgRs/rr7/OiZg0aRL2228/TnSlIPGcadD85je/wa9+9Sv84aqraKJ64H//F3j/+4HrrpMr4ugL//HH87Qbw2XGjBlB44Y6yioqKrZtRxk9N71v+iWPrgqk90odZtQpeMIJMsf+tGlyHGjOfTcN5cEHAwccIPlChqsoV0+JyvVB7AhyfiLi/C4RcX6XiDi/S0Sc3yUizu8SEed3iYjzu0TE+V0i4vwuEXF+l4g4v0tEnN8lIs7vEhHnd4mI87tExPldIuL8LhFxfpeIOL9LRJzfJSLO7xIR53eJiPO7RMT5KdEoMhpN9ujytfjybU+gbt9STP5EJf9QI6NnTDmTlxEzJs++7JQ5uiazXOYInUjyR/LEjeohn+cPkvEF5emFKW8p+Fykc8D8/cMRZDHnpztHbOLzyvoGOi/DmGkse/5okljkeYPPi4mbVNpYhAmfLUNLWzfO+8ut9h1kQtMu3v7fJqRS6azPKBH1+YmI87tExPldIuL8LhFxfpeIOL9LRJzfJSLO7xIR53eJiPO7RMT5XSLi/C4RcX6XiDi/S0Sc3yUizu8SEed3iYjzu0TE+V0i4vwuEXF+l4ioLRmz4oeoXSlKQUAjyVatWoXbbruNpzik+5O9+OKLwQgu13bche5BZqD4v//9b1x22WX49a9/jSV0n65rr5V7dH3+8zLtIF1oecklwMSJvM1waGhoQFtbW3CfMprKf5veo4zaiA8/DLzwgnR80Xs+/3zx00WVV1wBHHooQDO6UNuROsmImTPFLviLLWPqK6d2HZeIOL9LRJzfJSLO7xIR53eJiPO7RMT5XSLi/C4RcX6XiDi/S0R/fmVo9Hcc4/wuEXF+l4g4v0tEnN8lIs7vEhHnd4mI8/lE434i4vwuEXF+l4g4P6WMe5QRvh1NRJzfJSLO7xIR53eJiPO75NNfPM7vEhHnd4mI87tExPldIuL8LhFxfpcIp0p+RI+pn4g4v0tEnN8lIs7vEhHnd4mI87tExPldIuL8LhFxfpeIOL9LRLxtFpqrOaKKUih84Qtf4AYPjR6baBonn/zkJ3lKjf7YY4898PGPfxz/8z//gxXUgVVVJdMK/ulP0lFmtsfee8sX/xH4AZauAqTOufNNg+K8887jue63WUcZ3ZCaGnWv2ful0C+L1IihEXRf/CLwgQ/IVYDkp2NCU2bYaSw5f/jhki9g4uorWlzN5nJ+IuL8LhFxfpeIOL9LRJzfJSLO7xIR53eJiPO7RMT5XSLi/C4RcX6XiDi/S0Sc3yUizu8SEed3iYjzu0TE+V0i4vwuEXF+l4g4v0tEnN8lIs7vEhHnd4mI87tExPmn1/fixnNXoqWzG+ff8hDK6ovQ+Bl7cUDCfm64xWByfuvBVYusUob2x/dpcvhlMhKVD/fLuBiRUc63o8nGDdHvJGq/hWzzryr73KBkysT6TQrOa0qDl5PPgUkOjomSN/xs2HJBXmKUKnYu5qlMn3ppFT5/412mQEi6qpqnXbz9nibZXyQRcX6XiDi/S0Sc3yUizu8SEed3iYjzu0TE+V0i4vwuEXF+l4g4v0tEnN8lIs7vEhHnd4mI87tExPldIuL8LhFxfpeIOL9LRJzfJSLO7xIR53eJiNrmQ2ryZomoohQKBx10EE4++WT88Y9/NM2gmTj00EPx8MMPBx1lUWh2EJrmn9qY1NbsoJFk1E784Q+BW24RpXbS5MnhfZ+HAV3cSR1lv/jFL3DkkUfya9tm9yhbuxb40Y+An/0McPf6pvdO79e0wXlWEpq1hUaS1daK383iMnu22CPQebhlCespX12t5nLRRMT5XSLi/C4RcX6XiDi/S0Sc3yUizu8SEed3iYjzu0TE+V0i+vMrQ6O/4xjnd4mI87tExPldIuL8LhFxfpeIOL9LRJzPJxr3ExHnd4mI87tExPkpJem7PDFa1JFr+dGqSn7kenxVh6qSi/oVpRCgqQy/973vYdmyZTwF43/+8x++IfM555xjvtObL/UWul/ZO97xDtB0iE899RR+/OMfI0UNHbrKjTqKaHQVfSl+9VWZhpA6jl580W6dHzTCjabP+JFpYNAUGvvuuy/mzp3LDZ4HH3yQG0H8GrYk9J5oahEaRUZTiNC0IBdfbIMG6gykRh01cPzGHXWWUXJE7QIlWk+5+suRHVdVfWsqjSQjzr/tYaxY24ZJn6lA6cQiGSHjRsXEjJKRvCkTxGw+uk1G8spHkj9iZ8DRO/5IIHpSi58n1H6L2e6csJo0/8Z8X1zKjsk2cSmzrDw/533N8Hll3H7NSx53XBnf+++P9y3Anx9baF+9+Rc9fgLrPQ9tzOlzq6pa6OowZ75VRSksikx759hjj8Xdd9/No8VefvllvoCSZv7o8qbdpw41GnVGdfqaNWvwl7/8Bc888wz/kIqTTgL231/aT7SNKYfPfAa4/HLeNl+oXUj32v7Xv/7FbUXqoLvvvvv4+X/3u99hw4YN3KEnHTlbELrnGo0g+9KX6KZuMs0izS7ioDYhvffiYvMht59yUr+96GwXL2DcKww18zVnx1WHo8rQyPW4jnaNkut2I616j7ICVSU/cj2+qkNVyUX9ijIaofned9ttN3zxi1/kTiyGrpD75z+BM84AzjsPoOktaK55Gm2VB9R4oVFjf/rTn3DHHXfg29/+Nq699lp897vf5cYONc6+//3vc6Ps1ltv5akZ+5snf1j09Mjosa99Dbj/fuAPf5ApJUdBh1e+9Fd/ObLjqqpvPf3iUc04dFYHfj73edy5YAUmnlWO6gNKbNRALQXXWjAEv3E4v0nscnmrfiKf8/cXj8tHE8eoynJ5SgVLH1Z/bAnuuWQL1OdK/7hzhM8T6aDKOH/8FIlJnDKh34/H+V0KtzeJiGgQsjZNa1rzthJ85s934Lk31rCvs2ocHn5c702mOnbUEW0/KspohS58HDduHI9Co4sxS6iDiFiwAPjKV2TaQWpj7befTOWfB9R2pKkWH330Ufztb3/jqR+vu+46bq/eb9pwN9xwA+bNm4fjjjuOLwRdvHgxNm/ezK9txNm0SUbK0a0JaNp9uvA0zzbxaCG7PsusubLjqsNRZWjkelxHu0bJdbuR1mT4fV5yoR3Vwog7+otn+52OrriSH7keX41HNT6uKIUONQ6oUUHzy/uJrgbs70q7pUuX8jzz//znP7ET3YyYoI6jxkbg4x+XKwKpQTBnjoywGuIVe/Tczz//PHeO3XjjjfjrX/+KT3ziE+Yp6Nc5uWcZNXro+T/4wQ9yZ9pXTCOLGkXU6NlEjZPhYl5z2jSeuHOMpgMZP17e0557ynt9C5Nr/adxpxoXFcZCnDrIvnRkM17f2Irv/fcZjDu0DBNPq5Af/XkUjE3GEdou5peJlB8o8b5MebdPqzxaJ/Z5KObnSbuwdPwS3NPgp40YgRpTyZHuG9dEjn8Of4OVrXiOymV1HtpOxaz9mfSxVnTbUozbR39xQ3geRc+bSN4vF5yP9K/RiwVl/BTuNzPfXzIvyih1zPm+xk9XmO8WwEV3zDWxIpSNr8fDj8sR9D+nopLL9jvVuKig8ahum7iiFDLUPqSLJqNtR0r9dTpRhxTNBkJtN2rn1dDUg0RpqYwqu/lmSeecI9MPDrHzikaR0W0DqC1I99A+4ogjeOaTWbNmcZz+J51wwgl80eU111zDo8ro1gPUYUava+XKlfyehkuaZjkx7WQeFUe3JPjyl2VqRbpNwVucXOs/jTsdOK4MjezjKLlsv9PRGY+SvZ1TyW2puDeiTHKhHdXCiDv6i2f7nY6uuJIfuR5fjUc1Pk4EMdtZ0F/ng6JsC9atW8eNCmo4+IlGcdG0hnHQjZlpWsZzzz0X73dX/dF9uI48EnjHO+iOzXLD4htvBBYvBvqZrz4Omr6DnpsaN5MmTeIpOvakzqkYaP750047jV/v2WefzQ0dmqLxD3/4A18xSDeZzmdaRpqO443ly/GSee7uv/8dOO444HOfk3nz3yIE9VWk/iJcLlRXVtB4VDUuKoz2ON+X7GOrOP+jhxawjjutlDWTzD1k7iXTiseVITWpn5YI3b+J8xn3ivLzNj25Efc0rETLldvhXRt2wLuaJB3wtSbMb1iD1StNGYc8dUDW15b5tK9wm6z4YNsPFo8w4vvf1nE04AB7/CnNif4NMsp3Yukea7HWWkx0f1+bGuyLE/19r66GOyvTb7biObOPmrtdfDvsYfY413a8Zb0+Ol+cRu4ZlpEIVonxbqicr7G4GJ3dsoS+gZAyZdOTaDi5DPcuWIp7lsmosgcfk46ycM9OJZftd6pxUUHjUc0tPrN+I178f5fiHdsvYzsaz97OaXycCGL2A6rtR6VQoAssH3vssay2IyVqe8VBo8mOOeYYbjt++MMfxtSpUyVA9+I66yy6DwDw9NPAf/4jyd3LKweog2vBggW44ooreDTZBRdcwPe0pnZiFLrocnfznD/84Q/xy1/+EhUVFfj973+Pyy67DLfffjvfB5veXz60trbisQceQCtdYEnHweyf701NV5KMcVz1lN1+ZGFcNlRXVtB4VAeOK0Mj+zhKLtvvdHTGo2Rv51RyWypO17kxo0UduZYfrarkR67HVzU3JYLedvslyalS4FAHS3Oz3GNryRKgvd0GxhZ0Rd3//u//cqPCpQsvvBC/+c1v0EPTDg4F+jZMx+r664FrrgGef16uCMzhnKfOqRfNsaar/G655RZ86EMfwpe//OXwisMBqKqq4mk0qKFDr5/moKc8NZhoWsYl5jXl+l7oKscnnngCV111FR589VV0fuITwCmnSEfgW4igvorUX4TLqaq+1XRGfS9uOm8VV2nPr2rCX594je+bVL5DMftoxEt09Eum9p/C7Ugln7mv/pItY14A51mdbXVVG547tgmNV26HvU6mG1DJeyLqvrwD3nV35EpnL07Qe8tgS8cjbPXn39LxCPVfnood0Ya1j9or6IPyNGJsJV77WiP2ONG6iEH2F41v/starD2xEdPmWEeiCJMvbAB+tIk756KvLzh3gvNJlFq9GecVl/GTKZeh0fxgicpK+axzP/J8E06tQFl9Eb5/+z3m61kfnntBLuxxb0VVdWvqFSf+G9vVb8RdH7mG89ubPJHr9lElzJkuSp89T5UCgO6ntXYt0NoqNs1AQbZra1D8lVeARYvk4sExBnUkUfvKbztS+vSnP20Ow9qhd+pS+RtukHtB//vf0kmW4+wdLaYsXWBJ7TZ63q9+9at45zvfiWK679cAUHznnXfmNvBPfvITzJ49G3feeScuv/xyvkjzySef7PeC0TiWL19umr/X44/mdWymaSQvuQSYPt1Gxz6uegrqq6D+YmFcVnVkVBkauR7X0a5Rct1upFXvUVagquRHrsdXNTclqLedF/PlzVelgKHOnZdekrnS6Ys7TZ3wj3/I1WFjDJrGkK6m86HGQ2NjY+yVeANC34apY4saCN/8JnDxxUjtu6/cpHgAqCFCc8dTI4fuS/b5z38e73vf+1BK03EMAbqx9MEHH8yj0aiTjV7/f//7X94vTc+4cOHCAe9jRs9NU4LQCLuGiRNxwhe+gFqaV/4tNtWiX08FCzViLf3Vd6qqY10vO2ktZtTLD2EXP/ws64RTylmDlgHjthoikVZG8ANDrJrnMCouyQeJsEr76H6sDWvRgO2okyyOOdWYTBd386izyOgygv1LsPRJk6cp/I5pMpk2LNzDTeXnTR2YwxR/RPYUhNnTD266ZIC4fZ6lT/rTD4Zlovt/7sbINE68vXmvT0ZeL4+yikxpGPsesqc95OOTFyWoOBFYuyTzgo5NlyzHQjTinV/O/B89NPrQscjIbsXBCDNmTjl3znVE/9aOyHlEylnf7+dJInagjD1Hc8L//Nh8ZNtECVB/SimeXfg6fvy7u4ItVFW3tr5z+2WcHGfv8yzu/Mg1+OYRD+S0fbx6i9d+DEso2xTq/DLtC7z8stjUIUa2aUfwRZZ//CPwl7/IvZupLflk3v8cChK6iJFm/aB2lw+NGps8ebL5X5BzZS9QO4vu3/XRj/IorPS55yKdw4WSK1as4I6t//znP6bpeSi+9KUvYYcddrDR3KDXSm3h888/n++D/fa3v50v3KTOsl//+te45557uH3YHzSa7ZFHHsGVV17J0/9/yryGqR/7mPm37t2z9i0AVU8Z9ZVbvCorrN9UR0KVoZHrcR3tGiXX7UZa6bo2zowWdeRafrSqkh+5Hl/V3JSgPNv8MIv5Qsa2UrjQF2Kacm/DBuDgg2VaiMceA+bOBQboaBmNUGOHpr/wGzXUcTbTNFiG3NAhtt8evUcfjddN4+mWO+7gaThoesc46Ms0TdFBjRG6MpGu7KPRbHvsscegVwIOBL1u2gdd2Uj3Mnvb296G1157jUer/fa3v8Xjjz/O8+j7vPLKK/j5z3+O+fPn89Qg1GAKpgV5iyH1ldRTbqGHg21V1beYfvmojTh0ltT/Dy9djTufW8GdZKWNSfq4SH1Jo2Dos+OPgOlPgxEzZocuT/vxypDDt0VjnsOlqG0SvfyOJW3AicUYtLvFdp4EI5ssm+5vMtvbEUlTq7HX3Q0mU4U9Ftqp/JrqUUcFqfNpj7UATe9opwE8YLe1mBvp5KIOsLnnl2VMP3jA17oyO21+tBJNR/rxJsyP6bB67Zj1wMWunLwO6iSbez681zcVNecvj7nHVxsW/gbY1T7HuxY2otE87z0N/j4zpykUOrG0YTnWHh++T9q25Zh8O8t60HEz0LhD+MMavYf5P2rAAd4Uiv3Cr7m/Drvsffu0LI90IHpEzyV/xFfceWgyGbYRbimH5zf5ve1Zbcra1m7ntqHdGz9/HMlndPwJ5aicXorrb78h+Jyqqm5t/cbhD3Deh0aXkZ+mY6QOs1z2E1W3yMMsdNKToWx7aKTRq69KO5Gg0WRkUxvxppuAJ56Q+24ddhg1doCrrx5TI8voQsaJEydmzfqx4447ooymUMyHk09G62674fGFC7ntSBdQ9gdNq3/vvffipz/9Kc8i8rGPfYync6we5uwf1Ml3snkd3/zmN/He976XO8Huuusuntb/JvN3jU4rSbOy3HDDDZyo45BGp+1LF4i+BeH/0VxZSb3lFno42FYdMVWGhjtquR7f0apRct1upDVJPeXEaFFHruVHqyr5kevxVc1NCb6yhr4k08Pm2VYKF+ooo6v/PvlJ4Nhj+cs7DjlEphV0jaICgDqg8priwoMa3tRBJQ1wgTrKtttuO2sNHZoGY+7cuTyFITVmaD74KDTVIo3wohsuv/zyy/jABz6AM844A1OmTMl4LcOBrnSkmzjTfqnTjG7sTNOFXHfdddzooasEaT556qS7+OKL+X1TBxk1jiorK+1e3npIfRXWVWLboMF4VFXfUnrorA588cgmMpgr5r+E0qokxp9c5lwZkM9tL/dqch6zWFuitoxH6HE5ux3boU/W4pW8I+rpQ3tkRFH0f0Zol2PalVVYe/7mjBFiy38E7Hihd8+rfrbf9GeZ4m+Xk8I6v46nFWzCcjeiy+3vbtu5ZqDt6748SUa1kU2rr03FLDtVIMePbABu7gXdOcR//h3vnoRJU/zX04k3z29D45UTwv2lyzCLOvfsVIPh9lXY4+JqlDh7agUaTwQarxgfbGv+k6B8NyOLeoNOuq5/bsJr5n3uakfo8f6mVmO7rwGv3d+Z8fqIqG08Vok+rKLpFb0Rf+n5zbajT45R//srwuSrd8DRG2YFHXbvNH+/1wbpsBvs9WW/XiH0upw7M8kOfeE6ir9duOZk72lGnw/JZSKlXCTU+pOLsXHDWnMUF1uP3Y+q6lbQs/Z5JmM0WRTXYbb4//2Cy+W6X1L6HPJnkR4ub+NKAUDTLT7+OHD77dJmdNMw/vWvMI0J4PjjgaOPhmmE0B8QeOEFiRcAixYtyusezj4NDQ3cWeZD0xcO50LHpUuX4l//+hd3fvXX4Uaju2gUGbXldtttN74gkmYTiWtr5ktdXR3e9a538ewk1AFHF4/Sva/pvmY0SwldfEnHkG5T8Oyzz/L0/9RZF73w9K0EV1WyYg3qLK/KMh7VEVRlaLijluvxHa0aJdftRlrpGjfOuJ6zwreFkdtfYdpKvuR2fNXO1TZQNi4phUtvr1wtOGWK2PSld/x48JSMNO88QV/+thF0hRvdrJiueKNpCumeXtThky+77LJLVkfZ9ttvb62hQ9sfeOCBOPvss3HaaadxY8qHXv9tt92GSy65hKd4pM4pmk9+uFcC9gd1mFEHHHWA0XOdeeaZfOUfjWSjhg1NtUixT3ziE3yD55FsbI1K/HrKT5aRqx/VlrXaQmHaM+v7cNO59ipi40qZuv+ul1ag8sBiFFXJaDIeNUMPY8SPfiG/VQ6G+TC5sizi432R2jJxapLcO8qUtbYbrSNvoQiVkY4e2tbHt0tPrsOOaEaT7WjpfrQt8/5Whvjtwyn+yjLikWkFV/ZiLapQ4Q3YzdqfVcdAr5fIsM3+W4zUbBdOCcXxqcVotFMNDrY/47AZoXKHzHu4dS413w9uppFyMoLr3vFLWef/SOKD7t8c3/l223saluMFml7RjcpDJ5Yd28wdgK6zbrD9+XbpyRP4fmav/SZ+yktiKPvjP4Z3TrlkCkk+Q2Vb9xkIzkvy2WQdGb7Q78oatfuiljY52Mdqkvf8de8sQ6I4gVQpnXzGHZw9omqrLWwZm+5Hlgvh/ctu5vzg+zdQNpqUwoFmpqCpF6mTzI0mI2jkmN+GKi+XNiRNybiNaTavgdpedPEgXSC4bFn/nbyDMd68J2rD+VBHWckwphykttqpp56Kj3zkIzjooIOsN+SFF17gti/NAkLtNypH22wpys3fbr/99sP//M//4Nxzz8Xhhx/Oz/31r38d3/ve97hTkF4HdaptqTbsqCGuvnLJMtT6Ve2BbWVohEct/niOHTvKYOW3jG2+vmf2nBW+LYzc/grTVvIlt+Ordq62gbImuatquH+FklK40FVs1Kh57jmx6ao7agTRPbPcNBPf+Q5w5ZVhx9lWgM4hmo/9Zz/7GU8TuNNOO/Fc6jTlA31pX7BgAfqoM2+IxI0oo6vn8oUaFrRP6ox67LHH8NJLL/EIMoLuR0b3EKPXfMopp+Ccc87hssO5AjFXqAOMGnU0jz114lEnIzV66GrED37wg1kdem9ZvPrKJbYtI1c/qi1rtYXCtC89aS2r486XVqCruw/VB9gfg7jqNGWd9kN2xNvGjqYJ1XhdlRzR0O/2GG4T5CNUUEePHY01OOVooJFR3NHSh6bb2tB4fMXg0/+91fja1HDaRT992d6zbkAaMqadfFfM9Io0KsxNpUidaQtvNk47xeLA0zsWoYI6RgPi7382bPo5PzPVnI+kfp6Iar9453iwTeijXMJ8dag5sBip9EueV3KyVltQW9YjZ9OUikPl7H2e4Q6zbx4h08r1v38DZU3KaD8qhQO1Gd79buAjHwGOOoqGIYnftGnwyCOSJ2jk2WuvAW6mDmqnzZsn98LeSn9UukDx5ptvxkc/+lEetfWZz3yGZ/+gdhBNS79pU/QOoYMTN6KM7g82nPbchAkTsPfee3OH3gMPPBDcG6ynp4dfP43oouegafrpAsu8p3kcIvQ8NHrtxBNPxAUXXICzzjqLO/TOO+889g/1ntpjET6VuZ6ileQl0UoYSv0qa7WFeFsZGuFRiz+eY8eOMlj5LWPTtXJGaC3f4DPtqG77uKO/eLzf6eiJK/mReTyjqvF4v9No3CIu6YhgtT6lcKEv/u96F/CtbwE/+hHw5S9Lo4fmm3edKebLMubPl6k17rrL/E9w/xy2DNRI+Oc//8kjojabRhfNg/7xj3+cO5q+/e1vY/r06fh//+//8ZWCA910OA7qqPJHUdG0g3Rj4+Fy991348Ybb+Q53AmaqoJGmK1fvx7f+c53eKqKbdU5RdNq7LnnnnwlIM0nP5wrIMccXn3lkt+RmlnPhfVdvN+pxuP9TjUe73e6beI0koymXfS5+eXlSBYnUHNgKf8/5xEuNllHho9c4nNlXTFauZiX3GiZrOTvh5LLe8ojeER9Sg+pQqM//WGUJ1t5SkJH3ZmNaLy5DU03tmDhzeGUgANjO2i8kWtC5B5Z3siuLYLZP13OknXvrZiRbPnCHY8/6sy479rIUY5Zficap+14lJjrnHNTUsYTjuyTn+76+bvwyDtzXhwy+N828zwLE63EHybyUcr0m7J8XpuHHW0mSXxkONsl68jwkYtX9HDnusnTZzHV04UUlpgQF4qo5LL9TjUe73eq8Tj/Dx44Ep+4+QNYvrGey+RK9P5lROb+LeLi81xU3EqBQJ0jkyfL6DEaWeXaEaYthl/8AqZxBvz858BXviKdZ7vZKxieeQb48Y+BT30KeOghmcVkC/Lcc89xe5Fm0aCRUdRmPOGEE/giQerooXt9UefPQ+a1UFszV6IdZdSOHG5HGdHU1IQrr7wSTz/9NF/8Sfall17KF1h+6EMf4pFddC+0bTH7B7UV6dYE1H493rT/6YLQt/wsJBaun7z6Kky0EjLrubC+i/c71Xi8X2JK7oRH0z+Oksv2Ox1t8Wwy41HdcnF7jzJa+z1pzo7qto87+ovH+52OnriSH5nHM6oaj/c7jcYJk0vHJ6WAoftT0ZzyX/uaNISogUMNnne+k+bxkzJ0s95LLgE++1ngpz+FaW3IFYNbgMWLF3MH05///GfuIPvGN77BU0HU1taiqqqKp06kaTR+YRpmL774Ik8BQXO853qe0cg017AhpWksRmIKCWqI/eQnP8EBBxzA0xuedNJJfAUeTfdBr7kQrsCj48df6hVLfH1FyWEsu/a1P79Tjcf7nWo83u9068e/eFRT0EkWnP5G71q8AlUHFCNRYku6oFfILbwBI+q8UaSkX9Z53BZ+LCyRiStp1pFgeko1duV7jy3Hc9RZ5sU3XbIE9xzTZi3LFLpXVxsWnt9k/g+Wozb6ZFMyO7vcW5cOtrV48Z9hJ9WmSzLvvxXcy+uYjUFHE22/6ZI1GZ11PsGhdUTszHg5pl1B73V9sL90uhNLj6H3UifTGQ64vWGQeOlJND1lE+Z/TKY3DOJPbsw6vkTW/iMM9fmDuHm+ey6he6JZ29B943osvLkKe5wZjmyrPUP+Lm+6kWjpPqz+Bt1PrgoN5njk/PzmXyVlw7Cz3JnqR0V9D2MN8btIqP3vR7wBbIiPPo9EH16yHlfaqSsZ9TvVeLzfqcbj/Wlc9+w+OPbaj+LiB4+gYkPC7zB7x/ZLjcft1+bMBy8rcVTZ5tBFfoceGo4Smz1bbJp1hKYMvOYaueiy2/yHoPtd0wWXNPqJpsm/9VbgnnuAuXOBc8+Ve5xRuRGG7mFN92P+whe+wNPhUxvxPe95DyZPnsxtPerkoQ4fKkOzk9AFjDSt4fLly+0eBoY6ymiWDtdRRKPBKA2344j2Qa+FOu9WrVqFL33pSzwK7mumTU6vv76+fpu326jDbGuNZhstxNZXJpmVLSH1WljPOe3P71Tj8X6JKbkTHk3/OEou2+90tMWzyYxHdcvF6bo4k3E9Z4TYkohCizv6i4s9+uNKfrjjl3k8h378NS6Iui90UVUKFPr7UGPnHe+AaWEAH/84sMcecrUgjdaiK+6oIUDTbNCIsptuks60k0+WzrM8prCIg6aeoI6xY489Fqeffjr+8Y9/8FSB1InlN0TofKJRYDQy6o9//CN3Tn3rW9/C+973Pu44GwyaatGNIKPOK7pSbyTOUZqC8Y033uApMujqQOoso/nka8yx1c9A4RKtp7L/Vs4mHW79qHGNF16cOsi+dGR4PxH3EXh42RpsbO1GzQEl/Lng0hSUDJdjv03WYW0Xk7K0jbGsX2LhfjIT+Shl+r39cBKflDcxD3KVnjwJ72qaiprzl+Oe8eG0fvN/RNMAhvfDYhJFmHwhjfaVDhfaPoNp0vHmpge8d7zt9Jpajb0WNpr/meY53P4X+fffEuq+vAMO+FpTcJ+ue83rmb9IOm3iyHr+mPfnU3rKJLzzSmDhHm7/K9Fy5XbhtIiDbD94nEZ9bYc9IPcpo9fP7/eYLhmhNdj2EYb+/FZpdN6PVobPb9Lc88uy/p4J8/eiv0uLm85x/HIspPui2Skfc3p+TuE55pJ1ZPjIxaswbDcPMtYXbiOO0Jbk70ds5+IMbw8UVydRvV8J0sU0lI4DVk08Ymtc48LIxWlEGY0u2/Wyz+fdYUb3OqPRZdvVy32u3PPyZ8NXXivbnAkTZOYRavsRNFqM7Pp6uuJQ/J/+NEwjTqZnrLL3uXziCeDmm4GODpmCkS6wpAszr7pqxEaWdXV18b2rP/zhD3NHE7W/PvnJT2Lq1KlZo73IphlJKE7laDpGmhafLsxsp3uwDQBtS51a7sLKWbNmcbtvuFD7ljpYqM1InXxve9vbuDOPZgHR2T8Km6z6ymqIs0lzq18FjcfFlXyR4zfc41+48SjRuOTz339u8ST1loU9Z4TYkohCizv6i4s9+uNKfrjjl3k8h378NS6I8hU1MaoUOPQFzyWCrgT8zGeAc84BnnpKGjoUo041mlrDNCzw/PPoOf10bLztNrRu3owU3d9sCNA0EzRX/HXXXYdjjjmGGyJ082KaboIaCNlfOjOhBsbRRx+NJ598krenhtL3v/99vP766wNOqbEHdQQa6Dlo6oyhQu+TGmfUyKLOud/97nfcUUfz4f/nP//B5z73OR65NtjrV7Y9g9dXziYdbv2ocY0XVnxGfQ9PuRjHqhb54ahsZlGwFWMN2YPD5eQ5xAp9sg6f3Yd82f5wmzBqfaZaDcoPWMXGTeuX2Ynl2HS/NwIrBul4i9kHdZb5+4+5/xZBnWXh9n65Iky+2tjRe33NqTflsp+nv2kIM1/fDtgrOn0kbx/pILTPHS3L+8p6H/Z1es/xrqz9ZSOvK/6Y908/xyR6rDn1s+8c/y4DY8+yhH/mBmfegNgzldeZ28TvJ9MyWAdJGHO5NEqnJZHqM9/RPB+lzNfpEqFxjY9sfPnGOvzggSOw62Wfw9xl21t/brjRZfd85HFcdITsmcj6PsZrpSCItmfibJeINWukk2zBArEd1CF14YXSvjRtKPPHtoHcofOjs7MTzzzzDM8w8oc//IFnH6F7WlMH1mCjvKhtRhdJ/upXv+KLLakNSlMc0n2mB+owo1Fpbgp9mpIwn44yuoc1PQddHHrXXXfx6z/iiCP4Xtw0tSO1f2m6fKXwyaqvss5lZ5MOrX7VeHZcyRc5fsM9/oUbjxKNSz7//ecWT1Tgu1wF0L/AQtaiZAKtfd8yOWFm40+xbl17ztuPJq3fbzr2++2pJqcMhXsP/kVOx1c1N+1JXIZjphyIyw/4jXEYD9UUtsCStmU44p6jccUVV/A9p5RRBHWW0ZQa118PvPe9ciXgtGk0LEviHR1Yd/fduNKUWTt9Oj581lmgG/3SFXcDdRJRBxnde+ypp57iBgp1PNH88XRT43ynsaB9vPzyy9zwoWkrzjzzTO5EGz9+fNZVeTTdBk2JSI0SurHze+m9DQLtv62tjV/3ypUr8eijj+LBBx/ke5AdfPDB3FG2//77c6cd7ZteB025qBQmdL+7O/95B5469omM+srVXx94bD889cncR0u2dJX1Wz+qqhaS1pR1mXVuJL4L7HxNHUrGm3rZfDaCey4F92AyK/a5mLW9eFZ5VslTzG3vtosvH/XTdnb74bKyFc/tsRY1dw92PyzlLUfKfG5SpnlsPjyk9CFyNgK/yZsMKf1QxrbN+9uH5WkV+tnm8pllZL827nxWN9zUicMe78CNp5kyOaD/n1S3pBYl0ihO9qGkKGWqZfIMja6uKWhb83m0NZ9idmi2tzs+57FzsW78eix8YaEUVEYP8+YBn/888MILcqFlzIWUmz/wAWz6+c8xZcaMrNFf/UEXKdLsHf/+979x//338/SEZ5m2J01RmC/UrrvetHMpUacV3c95mmnr0uwlPvfccw/PfEL3E/vqV7+Kr3zlKxg3bpyNxkP/B+g1t5r2NHWOLViwgNuOjzzyCF+oeeKJJ+LII4/kti/9TkKdbzQzCc1GohQe9LvFnDlz8Os5l+H900/IqK/oC+mvX/oN/m/xz1CGr5qvtBWx9aXq0HXf356KcftNNzklV5Ze9SiWXPVYTsd3tOopp++O6/56sskBD96/DMcddV1O220RLcdFpAVP0jSe2/q+bS1gRuMlWL9u4CHVoxWqNPb7bY4tJSXg3oN/bnPKSNCb+CV3lP3ugF+bCiNhKox0oEtbl+GIe9+lHWWjmWXLgEsvpRuIAaefDhx+ODDdfGGx991avXo1T13xxBNPcKcRdVDRiCqa5tCHGgw0CovuQ3bHHXdwxxY1EqiTaSTuE0Z0mAbZ3Llz8ac//YkbTu9///v5Hmd0FaDrhKObPFNHGk3NQTd23nXXXdkfxY1427BhA3eO0U2iqYFE03vQ1I90fzT6why9+o/mxqfGEOlgjShl2xB0lB3zeEZ95fSDj+0/pI4yRRmLJL8P7HpTvXRU2Y4s8xHJUOnAMoVNRtT3mxVt52K+3yuX7fdjvj+7PP1f8S/MGKq98ZIleJKmTLSjjoa7P7XHhk1q/hXYDivzX8F2ZoUdW6FyzOvQchqUZzX78Xx+Rxj5Bu9Is2rsTQ9246A72nPuKFOU0UBX68HY8PqP0dc9w3wE0vjIY+dpR9lohTrHnn0W+Ne/gIcfBt54A1i3jnq6OEx39rze1LPXHXggvvmjH3HbMdpm9KH2GHWQPf7443xfaurI+tSnPoXZdL+0EWLFihXcbnv++ef5HtPUgTVz5szgHtPUrqN7iFGHGc0kQtPrx71mqqupLUptR7p32iuvvMJtR9ov3eeM9kvtZHcbAAddaEkXj1Jn3fHHH18Q97ZWMgk7yi7F+6edwPWU+TYa6K9e/i0usR1lCQx/ak5FoEEh4/bL/LwoA7Pkqke5s2wsc+rpe0Q6yq7l/LaAmqpGRkvyiYuPpaQMnbjjqCn/JNCXhDhVRjnbby8dZd/4htyQ+ac/ReqWW9BtGi0p03ihmyXT3Opf//rXedrDX/7yl/j73//OjQM3HSNdUUeNBOpQu+qqq7hx8cMf/hCnnXbaiHWSEbRfus8ZTcFBUyxSpxjNRU8jwKiTjhowNOqNqKqqymqo0LQY60xj7lnTwLv99tt5xBm9n0vN+29qasLZZ5/N90+jOeSpoRM3RQbdlJne9+9//3ueHkQpbLTeUpR4ShqS3Gkg/Qju82GTWYVuKSNlJVkHRcTmHAmv2WfdrJl5Msi2TtrW5HkPrGGZoKxlqHb9lzOn5hvu/tQeGzapJLbcg5PLy8oI2bYsb09+smkhm3O2IIuUlXLWbdUW4Yy4ZR9s2QIlEyJTayrKGKCs+jE0zj4LdZMvk/NdGb1QB9IhhwA/+Qnwt78BP/4x8OEPA/vvz/c8W2rqsV+b9tgD8+dzh9eNN97IHUtxvPnmmzytPbXDSOmi20suuWREO8kIun8ZtR0vuugivvCTnuPWW2/F8uXLuaOOOrnooksa/eZ3oDloSsVXX32VR4zRPccuv/xyfs0PPfQQ33OMbLq3Nk3TH217EnQB5tvf/na+2JPay/ScSqEi9ZOrp0L1IUvTyCVl6MQdx7GUosSV2TqJrgU1pEUKXqPkut1oVWVo5HpcVXNTydEVNaE6SxkzvPOdwC9/CRx2GFrvuANzr7wSd999N08/SNDUiTTfO90ced68efjNb37DjR+aR/6GG27gBgJ1pP3P//wPd6xtv/32/APQloDmkv/4xz/OUzp2d3fzCDN6fhoVRs9LHWrUUKHOMuoco1Fx9JqpcUMdeXRV32233cb3Ojv55JN5So7vfOc7OOqoowadEqOsrAzf/e53ubFEjTq+ElwpSKL1lbMVRQGKaMrF4BMRrjnnPiZW2R/4wqBbwoKiPBInLOaifklDZgHej9ue8oqyBYmeoz6+GZyRJiPnKJmUs3nJBXDYZTzl7QNfGLR74jxRPG7LfG9SlG1NcekK1E7+Jabsdjg+OmeZ9SqjFmrjzZwJnHkm8LvfwTQM+T7Xy007sW/PPXlqfJpdhC60pI6kJUuWmKpP6jmaqpBGb1Gb7KabbsIBBxzAI7noIsV8p+nPhUMPPZTvGXb44YfzfcTookeaBYU6rqijjC4OJS0qKuIp+ene2tRepNd59dVX84WiixYt4s4xagtedtllfJEl3deMtukPir373e/m2U7oQk1qlyqFivxPdv+dZXH/oX2cR3VkVBkauR7X0apRct1u5LWoGEdeRD1m8vXcfUkvPDtp/il//TuHWxu49JJ5aG/vtdbIP9+2tCum1GHK+3bnvJI7S696zOZG9u/xVrVTiccxu2Yajp/2viAukQQ2dm/ENUuvwwknnMD3cFJGOWVlwO67o8s0AJ5buRJ3P/IIjxyjxg7dD4zmV6er/KihsWzZMr6ajhpBNLKKppOgueTpJsoDNRZGCuqEow6zgw46iKdhpFFi8+fP56sWafoOuofYhAkT8N///penYFy4cCHWrFnDPnqtZ5xxBk+vSDeHHuoUGDTlIjWmaMpRGsFGeaVwoKlbXl30Kj6xI00HG9ZXrv66YcXv8Yk5ud/LSVHGIhcvSGDcseX8W5c/3WFg029Vni9rikSzktEzxmCfSVSG5qjgvC3jbNqWE62sz8bCKRhlH67MW5InN+KePVZiyU+aw/RiCaZ/oBRx/1m7b1yD+9++dsAyPpsuWYKHT+hG5dnVqH4L3yrFnGU2Z7FtYr4NU9rGjHKO1eS4jMTc9omgrCQpHyrj9hOsjdrtwu3JB/RuSmPyE134kDb/lDFKqq8Wf3qmAUv6UrjgwgusVxnV/H/2rgMwjuJqf3dy773hbtwNNi5gim16J/QAIQQwLSGUACF/CCSENJLQU+klpBJCSUINYDqmmWaDMa64d1m2unT3z/dmZnd2dZJOsmyfpPlWs6/O7t7e3tyN3rwZrkPGafv33x9dVB9rhOobMYuLgw85kwfX7eLMHVw/mllcDI5xOkL6cODj9OnTq6w5vaPAAY/su3EAKPuFs2fPliAe+7MM5I0YMUKCYQxo8RqZSVZRUYEJEybgxBNPlAGWrMu+YF2CehzEyX4rB1oyQ439aT8FY+6ASy+wX390v6MwqtMIpTHf+2b/zsZ38eaGt9ACB6ifrHxWzXe3sXu5fjL/1922byfhPbJD/pwV2DxnpZEa9v3IFXnMuF448RQ9S9Sypfn480MfC59t/YaUTSuvI+byS93Q3JRDZOffeGWP+qD6++llTTWyla2GsuLUj0htscWjSSEvD52GDcNXzj9f5mhnJ4AZV5zikJ0FjrrjD/wlS5Zg7733lvnYL7/8clkvLNNUhTsa7HjwGrjwMgNgn3/+uVwzO2LM+OIPX2aZsXNDn0suuUQ6ZBwxKP+MrSd4TgbaOEqS89R75B7i7ZWVPTw8gIqN+jMhHwnzuZAsG80YfcjLSHBDxctQy9MY8RGVkcUmrPYRWB2pLlpheO0SgVUHaIL2LbM2YdjzQ3HoJlU2kg7COKzDq+duQ2mV+pXY9N9C9Dq+PfBkITbafrNFzL/00bV490YjEBnOH0ETtZNWfUYDVhXDkBNWP5PxZ1SK8TEVjC5w02rqRObOUM2oPW1GVqV8o57S2sOjqaGirD+2rLkMqz59GR+u6mK0Hk0N3Xr2xNFHHy0zdXAmEk7Fz8GJ7EP+7Gc/k1lA2P/i4EoGydhH29nggE6ed+bMmTj33HNlIGh+fj4KCgok042DL9u1a4dp06bJlPs//OEPZUYVBre2J6DHwaRcv/v111+XczAA55Fr0N/L9vs5kB1oyeqs1csadZc96oba7mfTkOOozX/HySZQFkbOcpvGkW29xko96oZs76un2dEYqlF7NC0wAMVsLXZiGATjNBm//OUvZV0wBqGeffZZWfiY9kzzse9sMPDFYNill16KiRMnyrVzjTQGxtgRYhYcRzI21JQe7GTZNdjuu+8+mQLSIwcRb698++XhISjfnEIilWASl4L+YLgfj1CtfWyWlx5gIAwt5LTsUPoIx51jElHqEyENj2R01se6GARVLZqgvfPVQzFkspa1PQ/djmUgrAIl8fqri7Huyfbo9fPOGIZCrJ8dW/fE9X8vH69dCIy7p5tRKGQ4fwRN1K6peUadvTFragT6iidl5wB2M1ahshebEbVKqIiBHBrsZjxQucl2zj08mg5sgIzUo3mA2VJcT/qMM87AtddeK31G9pk4kwf7jpxukdlduxIMkLHPyH7iMcccI7PjMMjH67vssstEt73BMRf8fmB/dN9998VDDz3kp2DMZdiv6WoRfo972hDUo27I9r42VhpHtvUaniba4AbnlzlZayRyR04mEyis/KHwxIBeN2PD+kLFNczxNXJD7jqxPyb+4VSt8sgaL069Ve0b/v0I0bzkisQdOKzv3rhzyu9E5sBX28dfsm0JDnzxMElV5wK8Hk0TqVQKq1atkgWQOZXhihUrJKOM0xnmIrh2GTtnHCW4I8H7whGBv/3tb2WE4AknnGAsHrsS3/jGN/Dso8/gvcNnR9orgvJJb0/C+9/cYjRV8c6K/obz8Ni16NS6FKN6rjdSw4Hf8skbgN3v7YRWvfKqTIEonxlD3SkULZVggMi0G52iVg70irrTOmq9KrZ+4FONv4dCCZZ0W4Wt9wzCnidHJ1bkNIrvftoL0x/ogGKHrzKZ06pt+HjcOnR8fiiGIB8vHF6KcXN7o08/Y29m0AlcaaSZvGWoFBqEV5R/ilLlylX0Uk8dhzpzDH1cYze02uPEzrvh0RIc8F4J/vVVdYwM8N9PHjsTrfMq0KN9EXbrVGA0dUNBwV7YtuI2ySbjYy5tvMLZs8/D+u4bMHdebvYjPBoeXPOa/aWxY8fKQMNcA9fd5qwkXHNsRw8A5eBTZtdxakqu4eanYNz1eP/99zF58mT8bvLtOG63YyPtFfG7BX/ETZ/dgtb4vvop21ZplAN/1Abwcn1k/q+b//P2yB6L730LS1RpiPsfIrfkU08fiz/97WThX5m1FEce/JDiGu74dZFjgbLcReZAWZGRmhZ8oKx+eHHqbYbzaAjEA2UufKCseYFZUwyScQ0oTjnI9ctyETsrUEaUlpbKPPYsPC/nvffYtXADZZkw4Zm9UVA2AC1xktF4eOQWBnXJx93HP47pg5caTf2QSnRAeWIYKpJ91Hd5X61Uv/ufmLsM5/xtFob8uiPajWqhg1Nu4MvQ6mQJbCmlDnY5vKHxQFpwHGOzddy6oV94nOYMrj326gUcCNgNUzZ1QdWJjWMBNK5tljEAlq1fM4Lq8WYVuAoCWJrXAbBoIKzKcRzfiN5Q7e8ex/ga+5o7i7D5mQq0Tv9IGT08dh2uO3AWrp3xspHqhqX5bXHuk8X41cjX0adN1XV8faCs+cEHyqLgWt+c9YT/P+FgS49di3igLI6qgTKPhoAPlNUdOlCW+X8cTQVVA2V/En5XwHRH1a/0RkHjyLZeY6UedUO299XT7KiCYqXjX6UYu0ezAEe8DR06FAcffDA6dfILrxKcNmTGjBkYOXIk7r//flms2iM3kLnNijda8fbOU093LeU/J+dfflu9g2QMjhUn98eWFt9AQfIklCTHowL8RyXPoc8zoEs7ocULK7RWPhtkRBA+/rmprgSBgYx1YjYJFNRWonVcNCe51cm9ccjGITh0Uxts6rYYL9xUEvV/rwSL0B699jVZZpM7YuzxhVj3Vjj9YjpdgTXnrsKia/pJkGx7rodoKjJpleI8m/wcaF3oW9Nng8q4Thfr69L4cSzVpXhxCokWXeU6lcVTT3c6HdRls3wH1SdItiy/C37+yoEYfseBeFl9hcWfb1vUztTw8GieGDRoEK655hr86Ec/wuLFi43WY1dDN08Z2qygnbSwsqcNQz3qhmzva2OlcWRbr+GpCZQlNMl5Gke29Ror9agbsr2vnmZHFchyhDdHgPNPKGVt9mheYMCsodb6agrg+mjHHXccSkpKZERiZWVsnRiPXYKq7ZWWo7AKTz3dtZRZZM+d/WC9/jnJ4FhpcrwEx7bmnYSy5DDRy3e0fe7N54DCpP690K97O2x9t5xu2iwcYTn1mTGbq9N7rRUEjGZDS0hDfdTmalxYvXxmHTRPuQ2GPN8NuHEL1q4O7VtmbQKu6exkheWh+7Htse6CrbATy5Y/thFz0QvTr24jcsNcT4jGLJOTZ1L6wlrSGlfn0hCuRvNxX30ca3N9rEcc1FdsSKN4fjmS5TYz3Xp76umOp4O6bMHdxz+B+ZffLt9HdQUDZKPuuAI/e/kgo1FH5qHVTj57/BNqiodHMwY/C1yrjBll559/vl/rOlcQtFOWmvarCqzO04ahHnVDtve1sdI4sq3X8NT/x9PDw6N68J8GdkQN/4RS1mYPj+YM/oAePXq0LPo8e/ZsKR67HlXbKy17eOQamD1WnywyGyBjcIyZY3XBMaMGofCDClQWpOS7nJ8PSw1jdPzQ2O976mlSMiXhtZqMlrmzVBd7HF1sxcAclPhx5BgeQL8W6IVCFK8yMkqw6UZFblyFF5htZoqeqnETNr0nThpPrsOrjs8LhzPruRBzxyn+3G1obv+a08+WLdxpZfh8quI8nNZH26wvqS5ilp2xKaJ9yGsHq9MibZR1sTzp1nf0u5HESKEeHjsLNpP5rAkfGE32YBZZPEBmoZ9v/Xmwz78oxeDh0bzBQaecfrFLly646aab9OfDY9ciaKcsNe2Xh4dHs4QPlHl4eFQPBtWlqF3Am+Lh4SHglJSce/+xxx6Tuef9D+tdjKC9ilEPjxwC/0H53NkPGCk7ZBUgk+c9LDqvJZS/MnqwuG19p0IobdrD+AWF0NoIVPPmeri+eu9arc5wtmk0VPSBztQRavjmjlUVWIf2aGuzx2TaRa5dNhSHRsogjDseWDSrRNw4fWPUrgqz09Sxxs1V/AMd0Eo8mxHMcxs8g4TRJSLPHsGnOOSjNISr0c+x66tKTBfxN5TY9k45kq06qE65X6/DY+eBwbH6TrN44ZMnSJCMfEaYj4D+3onJHh4eAq77/d///hfPPvssUikuXumxy2Dbpzj18PBologEyty+QybsanttyPXr3167R83I9fevUdqVUv7nb0fVBLJYPXIYnAawoKBAFlEmraioQGlpKQoLC4Mf40VFRVI8tg9cr+y0006Te84Oz9atW43FY5dA2qs4rbnRqq1J8/aa4e01w7XrqRYfqPM/KCVAZtYeiz/OEdnypKrEXDFtaD907dRaZ7Gwovl8uEXrFJH1m0ipUoxdu4l6u7ZTnAbF+OrDxXSmVHMMCDUXrODygpjc+O0lWNJtLdbYzDHaV23Dx8wCu6Yzevd949nmAAD/9ElEQVSlshJrfk+5DTpXqZ+Hbse2B24s0dMv1vn8hrFoanb1PNGpyvMmassbn5iuSokcQx87WNNM8XLu4PhhUbsqOvWHyq0pbPugAslKO+1iVfCQNcHba4a3Z8arS4eoogdOZAs7zeLDH+5lNNUcXyn5fHOnn/9Q9shtFBcXS99x48aNMrU8+4zsO7IPSZSXl4vMfqXH9qFnz5748Y9/jN/+9rf44osvjNZjVyBsr2KUxhrg7TWjNrvH9iHX39/GbI8EymqLme9qe23I9evfXrtHzcj1969R2pVS9EK1YGWP3AXnO3///ffx0EMP4e6778Zf//pXLFq0CPPmzcMLL7yALVv0SiazZs3Ciy++KLzH9mG33XbD6aefLvf9tdde83PO70o47VRIhasWNVu93dtrRrZ2GySry1SLHLH/9rrjdAaZOVB8kKuW1U5GwVJw+JiOU8YeN3Iwts4uR/na6rsIrBGF1ujPkrGaDBxm0wT+9pBGVyVjzNYXfVArrGfgWPTlu4jJjd/eBt2uMdMicprE7qqMWwfcMwiHXt1G119VjHVPAsMOapPx+K32bY9edvrFDPYImpldYJ+3gBqnKlQTS4Nn29YjlK98DlxdQENk0lDnfobyXzTTLlaOFpoJVY8ThbfXDG/PDH63/PyVqtMmZgIDZG1vuCHjNIsZj6+UoheqBSt75C6+/PJLWXP5rrvuwn333SeZTgyKse/48ccfi8+SJUtEXr16tcge9Qd/jx1wwAE45JBD8Jvf/Abr1683Fo+dDds+ZaQ1wNtrRm12j+1Drr+/jdnup1708PCoHmn+6VE1ceqRm+DIvwULFuDWW2/Fpk2bMHjwYBkFyB/f7AB9+OGHQRYZOz0fffSR8Dsay5YtMxyk08XRik0Ne++9N2bMmIHHH38cn3/+uZ9GYxchU3tF6uGxK2HXI2OwLFvwn5Ovrf0aRvXrajTbD34SLtpvrPDrHy3Wnw9TxKgYLYfUMEZni/ZlHSEsVTLPLDV1JPuGdjrT3/i49YxP4NtM0Pnq2FSJqux5cp42Ev06YE+lGzLZyHHUZp/cRR2zN/rYaRybA9xnzPDyjFMXey7pYOXo88t6+lg201FsphiFka2N/lZ2i+OjjpUqSWHDI2XIazNAdciHqkoeHjsXzCirKauMwbQjHjo3Y4CsJshzzi1G+eeRm+BsGMxseuuttzBw4EAZAPjpp59KVhn7jgyQEWvXrhV58+bNIu9IsK/oznzi9iWbCtq3b4+vfvWrwnNgK/vIHjsfmdorTT08PJojkmEcrbFQi2z9Gyv1qB+yvb+eZkUVkXGzImoayh65CE6J8c4772DAgAG47rrr8LWvfQ2XX365jFgjGDxjgOy9997DypUrRbczcM899xgOWLx4cZPMZOPizCeffDK6d++Ohx9+uEkGAxsDMrdXbqNleU893Tm0ruuR2X9ObizfC8eN3Wa01UGdRx52no/Pu+a1KJ+AUDb2sX2746z9RiL/+TKULKrUWTP2vwFOho0cQgS1F7ux1YighoNMujhcq+KzPp+HRw2IZ4o5CJ8uy5nPi+Frh+PLzxBZ5/NDRDPSDDW6jY+WonJbJfJKGIQw9Tz1dCfTC5880fAhdLYZp1m80gTSsj2eBr9v5NMkak3lsxV188ghzJ07V/ot3/ve93DWWWfhzDPPxA9+8AOxcZYM9t3Yd+RAwJ0VzGFfkee14CwpTRF9+/aVKfw5Kwlfc4Wf1nKnI1N7pWUXVuFpw1CPuiHb+9rYaRzZ1mtYmuSvdf3bPfdpFNnXa5zUo67I7r56mi3VhLLaOKTG0FD2yEVwnSyO9tt9992Rl+eMRjdgcIw/wp966inMnz/faHc8Zs+ebTg9QrCpzsXesWNHTJ48Ga+//nowxaXHzkXm9spts6j11NOdQ+8+/vE6rUfGtV9G3nEFunXsgeuP2Ci64DvXEkO1rM5jqJH0XhMtKyG0asP3Z0ySfwJskKyyNFL0cTJsLGVibESfZQnqRXRROXPJcD7Fu/Cyl11kkvncyPNm+IA6JdPzmN0zmqGoS9DUyjVQ5Vu+sVJ99krRou0w1SUfxquWT6annu5sujS/S2TNsZ+Zdch+Kllk2R9HUw15zrnxYTeUG/88chOcSrF///5o166d0YTgumVz5syRvuObb765U7LJCPYVuVaahduXbEpo0aIFBg0aJNllHOzKvrzHzkWm9krLLqj1tCGoR32Q/f1t3DREdv47hkpGmY6ZWWpjaHH9rrdHUff6jcvuUVdE719t99fba7N7NE4wOMbFgbkmWaYf2hy1xukBjzjiCIwYMUJ0nJrxueeek7nod1QHiKPjOJ0HC0cjNlUwSMlA5DHHHINevXoZrUduofb2z9szUW+vq/35sx/AWRM+ECkbXPjkCTK6/2dHb8CdX11rDwjJEhPGEENFVoLI3IlehFAWGhZ9dQn079IBlx80HgVvlKPw4wonoyxK6S2IZMqoInZLFaqlth531fibYv5HUYWX4iC4HwZe9rIL+4xHnp+MxfUxxyBfLTX+kec4m3qWhvUYJGPgLFl8qFwtoWnYfkSpt3u73u8IO7PHmDnGDLKfS4CsbvU159GY0adPHxlM6U51aNGmTRuMHz9e+o777LMPunTpInpmQLH/+Mwzz+ywaRE5qNP2HyuaaKYV++FcCoHTXx522GFo2bKlsXjkFmpr/7w9W7tHfZD9/W3c9hCZ7bXVbxi7ZJRpWGoR13t7FDva7rF9qO3+entmahGXPRoL+OOaa2VxPbJf/epXeOSRR/CHP/xBOhhEjx49MHHiREydOlWmZyQ4ZWC/fv3ExqkZ7Tz09QXr88e+C3ZuPvnkEym8tqYIzuP/pz/9Sd6D008/HZ06dTIWj9xCtu2ft0ephbdnphZafu7s+2Vdsmxgp1rkqP7HZq7EBfvWIxs1fhlxGLt71VcfNBEd27VE/l/KJDAVWStMUcmAscXKYqcz/SlnrkdDtJ46Ycw/oMaHRvElT5vwxt/U9fCoCXxG7DNUtYTPkaaGF0q7CKHNPp8BpV2dJH6MWL3a1jgr/Kgcm54qRYuW41VHPL5oHB0zUQtvz0wtvD0ztchst99By/I7i1zX+h6NH+PGjUPXrl1ljeu//e1v+Mc//oGbbrpJbK1bt8bw4cOl7zhmzBh06NBB9Jxqnv3HVq1aSSbU9oABOk6zGF/fmX1G239siplW/K5YuHAh/vnPf+Lwww+Xe8x+uUcuorb2z9szU4vq9B7Zoa73t7Haq0O29RvGbtYos4XIddmiOntTkT3qh+rup5c16ip7NDbwx/XIkSNx2WWXyfQZdopDjv5jYGzPPfcMptVgp2iPPfaQwA6n2+C0GhwR2Lmz7SjXD2+88QZeeOGFyKhEdqKOPvpoKQzUNUXwNc+bNw+nnHKKTKERH+XukQtw2zfLe1nDyw0hD+qyRdYjyzZI9urSITLN1ZL8AXhs5irsN6TYWGoB25d4UeeXdkeVjDRm79C6FX513AHYMr8Ma+6y7TX9LFzeoLp+hptZQ15otDBIEMpVfVx71NcpHh7VwTwjNT07gY3Ptmurtli/DP5EhCofC/t5sDB+lVvTWPWbEiRbdUBe+RFKY/1IbSG87OXGKHs0VnBw3yWXXIK99tpLZiVZunQphg4dKtlk7DuyX0NwtgzKDKoNHjwYK1askOnmOZvJ9oBTLD7xxBNYsGCB0Wiwz2j7j00x06qgoAAPPPCA9MOPP/54CUp65CIytXde1qiP7FF31HQ/m5IcR9y+c2SzRpn+xa9/w+euHEVVe9OSPeqKmu+nl+sqWwSatOas7JG74I9sTo1xzjnn4LzzzsMZZ5whIwHHjh2LQw89NMh0Ouigg3DIIYcIz9GBRx11lATOVq1aJbq6gCMAGRjjgs/s1LDTxCk8ZHS1AgN47ASwcARiUwMXwWYHj9NaTpkyReab99g1yNRe2efQWGWvqZe93HDywC6bcffxj2UdJGMG2REPnYN9hxTj3auWYr/BOkgWPK4GkcfXwtU5+kBtGKGqBHpLje5rk0Zi5vQx2PR0KTY/p6eD00XZM/GqImmVNc2oM5S6yPpQGUqVtaAyHSfGS6lURfm6iIn6hTnwdsNYNDm7fjaqPCtOqfGZcgpt1drVecRuzmd1Eao+K1Lf9XHkVb8tRPn6CrQoO0ldeXtevXk5pOS87OXGLGtoSWvk2Xdkj9zFkCFDcOqpp+L888+XPiSDU1w3i31HTr1ofShzqkaCfZ6vfe1rVQJc2YL9xm3btsmATgbbOOiQUxFacLYT239saplW7Dtz5hdm0n3729/e7oGqHtsD3T5Vaa+UrCFWrRPq5e2RPeqD6u9n05JDZOe/Y2TJKOOmKZGJ5oY9iqr2UI7Txmj3qCuq3ldLyWXSW+rtmfQW1kNGoAtnfTxyGVyrjJ0OdmQ46o+BG44K7Nixo9gIBsdYCgsLce+99+Kxxx6TKS523313sdcFzFx7+OGHZS55ZrQxMPf8888HnZ2TTz5ZKMHMNgbymgq4phunKOndu7cEGzMthO2x8+C2V3rTcgijC6yuHKfe7u3Z2ZlJ9vnlt2UdJONaZCxXH7wZj880gxP0gaOPq0Igy+nUzhYqXDleeG2GD6ip42aY3XrcDEwc3gurf1+E4gUV7CM4Rfll5GOFEFq7v/zfIVKUn52ezimuXzB9HYvlDeSluIjJ3m4YiyZmD54L99nIUPTzpCrH9KHNFuNDuLSKzh4r8zHjZf3fS7B1djlaJA5THfDd1cvgC9H7zNTbvb2x2TW01ejUB1hzRvbIaTAwxr4j+zRt27aV4BT7juxDEpwhhDKzu5566in8/e9/l4GCnDKwPnj00Udlqkf2RznQkhlWH374odi4lAADZBZuX7IpgLOQ/PGPf8T3v/997LbbbkbrsWsQba/0puUQRhdYXTlOvb0mu0d94N5HclXva9Owh8hsJyWXSW/p9tslo8wW7jWvaSjnhj2Khj9+btk96oro/dve++/tFrSINW2olT1yEsXFxTJ9oi2cEmPDhg2S7RWf992CgR2OHrz44otlbS07SjBbcPTVwIEDZR2y9957T87FEYlvv/12MMLwggsuEEoMGzYMBx98sJEaN3hPuYj18uXLpQPHjqXHroXbXtlN/xfUQjRCbQllTb1dU2/Pzj6wSz7mX36raLPB4bIe2QRZj+yqgzYZbZawl1EdYnYrRqjaxfX3nXIYOrRvifW/LUGqXL1Gfobcor4+QqqKZMpYmqFYH6nv8K6PKvxaCm2Zj6czfLQtnu0TvACPZofweTLPDbMNnWeDxX12ai/0s8c1dew5Is+uezzL23p8Jo2NVApQMLsM6/9WgpZtRyEvfQCvPij6Edb7qOzt3t7Y7BrU2k0+D6Rm75F7YP9t7dq1kf7jmjVrJGhVXl5uvKriiCOOwEUXXYTLL79cpvOvC9g2EtOmTcOsWbPknOwfsrz88svIz8+XWU84/aPFhRdeaLjGD2bSzZw5E9/85jcxefJk6MFLHrsO0fbKbvIFHkA0Qm0JZU29XdPa7R51R0Pe/1y2h8hs516XHWmPrFGmY2i5K0dRu3/jlj3qirrdXy/XJrsQm6i0Xvt65CI+/vhjmTPeFmZvcSqLK664Qjo9mcAf5xwZyMLMs2x/rLNjxc7N7bffLnU57SDntGdWWbdu3STo9uCDD0pnyJ2KkMe3WW2NGXxdDAw+++yzOPLII2UkpO/o7HpkbK+Ct4UMNZp62cvbK9tMsmywLL8LjnjoXCzN71+39cgE6nxsX6SNCXlpc0jFxchK0iRqJ6/FqnRo986489RDsW1ZOVb/Sl2X7ieEhXBpnHeK/F8hKOoEETksrh8DDa4tKIFedWAMz3ouL3aP5gW+53wGYs+BUKVzn6fgGXF0VWwxPl60rZpnmXB48RVG+xfNq8DKW0uQ16ob8opP5adTGcPiZS83HdlC82IT1soeuQiuD3bmmWdG+o99+/aVdcneeecd41UV7Nux/8css7pMi8iZOBgk4sBKDs7kbBwPPfSQHItZZKTvvvuu9BXlN4yB25dszKisrMR3v/tdCQpyIGlTm1KysaJqe2Vlgky8vfNy/WWPuqOm+9mU5BDZ+e8YWTLKdOws92kUVe1Ni3rUFZnvo6f1pRbs8ItW1JpqH49cBDO74gsBs5PBjginYmwIMEDEzg1/2HM+dWaNcU2y0aNHy8g/Bus4EvCwww7DN77xDfFvauBr4lpunG6EHcqvfOUrxuKxK6GbqartlcgCMcjmqafbS7kmWbaZZAySXfDkiahI9MY7Vy7TQTIeRiFoIwNZ06isdpYKNJW6qlhTeI1a4drls2GsARWzlo8dNwS/OP4A5L9TihU/3aazYuKlMprVFc/wCorxS1WmVDF+GTJ+xM/oxdforc76aD6l+cBf84EvXwxfl6EWXm46Mln7nsvzJc+Bfi7sMxZ5hlj43Fid9XH9DNXFPGPWFvELjxMv9IkeR5fCj8vx5Y8Lgco2yCs7Tb2CFu6nz1NPmxg1UB9U+axyE7OVPXIRXAeMfcR4wIYBKwZzGgqcjp8ZalwSgEGwO++8UyjXPOMyAJxykcG50047TTLU4t8FTQEMkrHv+NZbb+H3v/99JBDoseugm6l4e2VkgRhk83T7qUd9UPU+Nk0aIrN951DJKLORs1ynUVS1Ny3qUVdkvo+e1pda2N9vQlXxv+caFvxRxqASM7G4mPH2dgo4hzyDZS6oY6CsodbOYieHiw8vXLhQ1iPj6D+OOKT+mGOOwQEHHCDBOnawJkyY0CRHyjFQyCkXGSzjqEi/LlluQJon20457VXYbmlDvL3z1NO6UmaS3XP8E0quHQySjbrjSvTr2l0yyYLn0dDgHyWBrGlE5s6l3AWyLSSaD67VynGawc7y7RkT8KsTp6Hg3XJ8+dNCVMn0IgwvX1cZ+JqK9aspg8z1IS+F/jGbzhCiYHiR+XL42kJ4uWnI+j1X3VfzDLjveSC7VBXxVbL7vFVb3ym2XqCrya+aUvhxBZbdUKT4tmhZfo7qdPdVBuez56mnTY4aKNZ+jIU6skfDgH0uTq/PfgiDL9sDBqv69esXrENmwdlBGnJK+VdffRVvvvmmLBNwzTXX4PHHH5fpHRmo47SKvXr1kj4j1+tiRlv8u6ApYO7cubjjjjtw8803o3v37kbrsashT5ptpywla6goVYm2d57Wl3rUB1XvY9OkITLbdw51Mso0l8tyHHF7U5M96ob4/fPy9smEaOS/AJqS3d5AjkcIBls++eQT3HvvvfjRj34kixkvWrRouzo87OzER/+x48FOyPaCo6nttW3ZsgX//Oc/JUDEzLGDDjpIbJzmkcGzXRE4cq9vR4LneP/992XaybPPPlsyyjxyA9I6mXbKba/CdsvIunUz1MterpvMTLK7j38M0wcvEbkmMEg28o4rcMdJa1VZZ7QNBH05EVhVtdQwmexS1O6iaeNx00kzsO29cqy4oRCpCvXKY5kyEsTKyMdLaFNNtKNXxcnc0cXYXT15I0t9Zvg49pRq8iNZP9bfvjCPxg31PgbPgXmP3WfCyvaZiDwHlnepW88tQf3wGY1kiKkHqsozL7qYn7Ft+4CZZNuQSLRDi7JzVJe7l3op+qHUlHsve7npyQTbX/f3lyt7bB94H1evXi2D9X7605/i17/+tWQnsV+2PeBU/W7fjUGqMWPGCN0e2L6Zfg7SePLJJ2XtbPZVv//970uWGQdW7r777nINOxu8Jnt9OxpcAuE3v/kNTjnlFOy3335G65ELkHfftFN8FOzzED4WRhbKvZe3R/aoH6q7n01LDpHZvnNkJ6NMc7ksxxG3NzXZo26I3z8vb59MiMb8QCYl2xRHd+1scAFfruPFrCxOu7B8+XJMnTpVppy466678PTTT2PTpk3Gu25goGzIkCFG0mCgjAGs7QFHLL7yyityXW+//bZMNTh27Fj5Idm/f39MmTIF7du3N947FxxVyXv3+eefy7U999xzcn+Zobcj8OWXX+JPf/oT9t9/f0yfPt1oPXIB0jqZdsptr8J2y8i6dTPUy16um8xMsumDlwpfE15dOgSHPXQZHp+5CqfttdVo6wj9IIfFXIuV5dkmNTp9jY7esZOX4vKZdGq7cNp43HrKQSiYU4ZVNxQhVaYOq/sPsZLQ/0gwxfJCU6E+KBJs0Dx9An/qaDOy1DV+gSwVQlkfhzpVAtlQE7AQX49GCfvW8n3URb+nUvi+urzxE11MlmeAxfIZ9LYOi8tbe+ivPk+K2vNH/Ixt25xyfHlDIRJ5HdCy9FzV2WZGhv5cEZp62ctNUybU14h8l2heWRzZo/5ggOl///sf/vjHP+LPf/6zBJvYB+P6Xn/5y18wb948CTzVB8ziatu2rZE0GCjbHnA6RU7H/9lnn0kmFafnnzZtWpC5xllIGjJjrS5gAI8ZebxnH330EZ5//nmZHWXdunWqfWeD3rBgn5TvU4cOHWQNbwYHPXIH0jqZdsptr8Jmy8hCw/bOy/WTPeqH6u5n05JDZLbvHNlnlOWw7FE3xO+fl7dPJkSjfixWKY6PR/bgj/KVK1fiH//4h8zLzs7DEUccIdlkF198MW644QZZ54ujBDktA6enYBCoLuBCx+yIuGCQrL4ZZQyMPfvssxLA+/TTT3Hqqafir3/9K/71r3/JFI87I4OrOvBZ5PpoDzzwAB588EF53eyA/Oc//xGZHcnHHntMOmcNMa0lUVJSIudjUPDrX/+6BCY9cgfVtlmqaGiqNGbvZS/XTX7u7AeyyiR7delgnPfk1/HYzBXYd3CxVurDqedRU4vY41nFLqAugz5SVe0iMqlhSMgLdYurc3lVZu6/B24/9WBs+bAMK67chqIFFWHGFoMWQjOv/xTRkUo9Z40n5xhhNpBeH4oy60mRNc7M2mXWV+z6WIHs0kBv1kczuuC+WmoQ6C28PYKdale8fS7keZFiZVPkOdHvbRW98wzpZ0rbQlk/S/rZMoU+Ro4eLyyhj3kWHV3om8LG/5ToTLK8TmhRykyynuol8QVyr1+ol73clGUi028wFo/6gQEnzmLBbCQOsuzYsSN+8pOf4Hvf+x4uvfRSnHvuuZJldv/990u/h5lLdb3fDLjFA2Xsk9YH7LsyAMVBhf/973/l2FxmgNfHfhP7qrvyedi8ebMExu677z4JPvL6OODy73//O373u99JP++1116r133MBPaVGeDkIE6u3d0Qs7x4NCz4Ltt2Klq0XXvolk7vvbw9skf9UN39bFpyiMz2nSP7jLIclj3qhvj98/L2yRHY4TTBsJoMPh41glNicC52zkn+3nvvYeLEibjiiitw4oknBnOU84czOzuXXHKJjDTj6EBmnC1evFjs2YAdEE5f4aI+Uy+yU8YMMnbKXnjhBVnj7Lvf/S5uvPFGnHnmmdi6dat0gNjJ4HSR/DG5M8ERf5yqksGwL774QqZ/5OtmUJABrH322Uc6Jsww4wg+3ncG+BicZLCrvmCAkIE3dkw7depktB45hXh7FQ4HVNB8vL3zspezkZ8/+8Gsp1u84dUz8N5VyzCga0WVr87II6mQ0c6dZnSxsqtX1F6b1csoWKu3MiWrt9TopLh8THfu/nvi4ZnHIrUeWPrdrch/oUz+cSBNvlsiWTe6iI/SSWaPkW09a9NKw7v1M8jucbSsmCp61b1x9ZFCJ0VjUC8zipjs7Yax2BF2vjXynvH9s7xTAntY7Hse1wc2UsqKd+WgGH1UpqMmtk6kvuEj9WlTZfXvi7Dm7mK0aD0YLcsuVJ1sncnPz5Le6xfuZS83ZVlgP/Rx6lEnMDvs3XfflcGTHGTJ9Z+/9a1v4aqrrsKoUaPEhzpO43fZZZfJmtGcGp7BHq4HVpf+Dgc/Zpp6sS5gX5CzbrBvyGUFNm7ciGOPPVamiGSfd9CgQRLwu/322/H666/v9MGWnNGF/UL2rTkolX3GyZMnSz+c2W28Vma4sV/JQZe33Xab9IN5zdsTNGPfk7OdHH300XJPm+La3U0CNbZbmo+3d16un+xRP1R3P5uWHCKzfefI0krryFnu0ziyrddYqUfdkO199TQ7GoH9YRj8QMzg45ERHFX30ksvyaLFL7/8sozO++Y3vynBJjsXO6de5Og2wnZM2Ak64YQTJCB0yy23SICGwanawEAZOzscrUfwxzg7Al27dhW5NvB6uW4aO1kclch6vNbzzjtPMrZ4XE45+J3vfAeHHHKIXDs7EY8++mjwGnYkGMBjZ4Nz8jPgyCkfeS3sfHDaEE47yfvHACT1F1xwAQ499FAJFjL7jB03zonPThw7LnXJ2JszZ47UZ2c0Hoz0yCHE26tIx1bz2baDnnpqabaZZAyS3fvJ2Xhs5kqjqSf0qWtF3M3K2dA478pCDXPcnrvj1Su/hj1H9sOq3xRizX1F0AENZtUoP6FaDkosI8fV2+weFq4xJrpANj5GluNkkINSjd49js0aEmp4qRNpGzx2OtTtl0CUeV8yZo+xyPvLbDHL62Lf47g+4DPpqynyTCgfWfPO6jLW0dfr6kq+rMCSq7Zh83NlaNlyKvJKz1Vd7I7q5enny1NPmxMV1Pg7zKM2MPN14cKF0hdjFhblr371qxJsmjRpkvTtGATjlPP2e4x9vZNOOgkzZ86UwY0cTMj+Gftp2YB1OCsH+6EEB2zGZyipCeyjMiPrl7/8pcyecuCBB+Kiiy6SPhgHFvJY55xzDs466yx06dIFDz/8sAy+rMtg0PqC92jZsmVyP5gtxuAi+7a8nj333FP6zby+GTNm4Nvf/rb0wXkv99hjD1lPnEsi/PznP5fXxsyw9evXy3uSDZjpx/40+41czzueteeRQ6ix3dJ8tu2gpzVTj/oh2/vb2KlFtv47giba4CdaynEkkwkUVl5nJGBAr1uwYX2RkZoWuk7sj4l/OMVIHtnixam3G86jIVCRuB2H9pmC30++g4F1thgBXVK4FIe+dCTuvvtuCUR4ZAancWBWGH9QM8OJAaaRI0fKD3SC0z1wxBoXYWYWFO3uVH78Yc/OBkfd0Yf1OK/5+PHja5zyjxle/LHPuuyccGpH/uivCTwXR8vxxzznaud17rvvvhg3bpxM8WE7Ti4qKirkHLy2N954A61atZKOBUfn2dfYUOC5OMc9pxxh8JABMt4vzs/P8xLstFQ3So8dSr4+dhjZKWOHiTxHM/JYHI3J0ZnVXTdHRbLzeeSRR+LCCy+s8f577BpwOpNnHn0Gbx/2eqS9snTyc/uhoGwgWuIkpfDwyB51CZJ9uvU07DfETLVYHwRtraZse/kYWz1HuXEpJKGitpSPuR4Fp+3aOzieEMOLvhoqqKpP9+yF1NgJuPSan+IvT7+JThNaofdlbdGqp2oL6cY5Kuirfq8LVTvShJLFLjpXNpRNdkQ2VBXuxE62tnqqiL9QR+/Wd6ieU4PU6oV47AyoB1b+/8RdwJNWJ2sa2BigUoRZXdE6Sm/tIht9IGsa2JQ+QlUJZLI12DWfxpbXyrDqjmJZw69l+gTkYYLU9fBojqjAW6o8gzcOfwV9WvfWjSw/K4bOfPtCbOixEXPnzaW7RwbYviGn3+/bt6/0dRgc69atW9DH4UBBzpbBgNO1114brPllUVBQIH05DtDkdH/HHXec9M9sf6k6nHbaaTL7CQcRDh8+XAJx8l1aA+jL8zAwx+s54IADpB/I6Qyr65Px+jhY8cUXX5RzsM/KQGC2gzrrAg6w5GBODrLka2IAj8ExO5uLfIcoZHqd7FdyECiz5NhvXLJkSTC4lcE19h3Zh+R1Z6pfXFws/wfg0gXnn3++DJat7X567FwwA5PP6x2TbsWxux0daa9I/7DgLtwy/za0xjVK9EHOhgL/183/eXtkj8X3zsYSVZoyTj19LP70N/1/mldmLcWRBz8s/K5AXh4O+jFbAulYOy1DrslJ9aVy7fXTFa9x201vobCIK4s3zPFzSW7TtyP6HTNW8R51weJ731L7hn8/mqucSszG0A674eh+RwZ6i83lW/Dwkj/LD2/+ePeIgosDc0pATpPBH+Vf+9rXJPuKnQZmZDFow2kNOfXEqlWrcNRRR8mPNK575f6AJs9AF4/B6SoYcGMga+3atZI5Rf9MsFlXDGL169cPxx9/vIyKqw68HnaMOLUHA0X051SGPC87X9X9qGcHiJ0iBqs4Uo6jCRnI4pQVvL7qAmx1BYNUnOaRnQ12TE455RTp6DCDzAasuAYZs8Q45zw7l7xfnTt3FhvB+85rpZ4dFQbFmHnGKTbY8XnyyScla4/vB+8rOz322AzScS0AvhfMUot3SD1yA3yGF366EOcPnamksD2z9J5F96O0shPyMEZJNbd/Xvayle85/gl8ZdRniq8ZKwq6YHXpAdhrYEv5J7o0feYw/EeMtIWBXI09gOJFtNTCkavYDRPYY3Jgr4ZWY+d1pbp1R3qPiUisXolju7ZGz47t8J8XF6LolUoku6fRemBSXov5f5OmlI1g/xGlZVFZKfS1VJRWFkkQ+mmjWDTrUJ7L5SlYObM+OJ6RLdz3gz5e3j5ZIIEtVRh4YrCJshTyoaxt9DF1DO/Wk/cvkz7ib46lxBr95aIcvfCmrrHb65aieNZb+2AR1t5bjGTL7mhZ8Q0ksbv6FDVs++NlLzcmOY0V6qOxEDOHnosOLdhH0XqLf6/8L4raFePib19sNB4W7ItxBhL2DTkgkDNlfOUrX5H+m830Yr+OU8mzP8Qp/Dl7BmfMiAek2Jdjf4mDHtmf+fe//y1rhTFriv2e6sBpCT/44AMJfrHfyuBVdWC7yGAcM61IOZCQ/UcODK0ucGRhr4/9MAYDuR4Yg1l8ndQ3xGBEXh8HmnJGF/af2Xfk/eQAUDvFJKdi5BSV7D/wHlHP67H3k6/B6tgnZv+RhX1cvl+syww1vn72Felng5E8P18Xly/glI7s5/tBlrkHZvxx4PeR/Q7HiI4jlCZsz0jf2/Qe3towGy1wgJLU73vH3tDtZ3OS+x0zBm37+iUs6oLNc1aowgzhhn8/ckUeM64nTjpFT/m7bGk+Hn7oo4i9oc9XkyzjKKkkSHNZjiNub2qyR90Qv39e3j45RO0eHhocIffnP/9Z5o/niMCrr75aso8mTJggP7Q5Mo1BJGZ3MSjFKRh+8IMfSGeIa4hV16lgh2Ls2LGS0cRpLLhAMtcLYweAP/LjoD9/xBMMDrETVR3YKeI0GJxW4uyzz5a1tzgakNdT3UjAODiNBDsOzIr7v//7P7kmXifvBTsS9QU7agx88R5yXTBOWcnjsnPIzpQLBunYEeLrZRCspqkteH8YZNtrr72k83LxxRfjxz/+sbx+dk65ODZHVXJueo4C5ChJjni88sorJfjnkdsI26so1Qi15FwvL3s5Lv/wwJdx1oQPRFcT1mzrjK5d98aoft1EDppyQ4O2PZA1rWKngjxFS7UQykJDObhyo6tCHXvGYrdMekXTnbsiPW4vJNatQXLBp3LM86dNwLPfOQP923fEypuLsOLXhShbw4iCOpUEGFRhNEGoKYE+5MPAhdbrAITqplBvZAlUiD/1xk9kV6+UgZy5aB99DF2i9SJ2Mx2k6NQf74MLL2cn2/dP7jHvKXm5t5q3xb4H4XtlqX4PXN+aSlCX51UleGZi+sA/JgtvZKmrePrY6xJela1vlmPhhduw8bFS5OWNR8uSS5BEX/nMEPrTo6mXvdzcZCK0WKo9PDKDfQwOxPvtb38rASoGdxh44mBHDvTjAEgOwGTfhMGWX/3qVzKjCwNN1QVf2A5zOkUOxvzZz36GqVOnSj/m1ltvrXaqfPYd2Uci2K+rDsyquuGGG2QQIQNPvF4GyThw0k79nw3YPz344IOl78j6HPDIPjL7XjKAoZ7gzCGcppJTJfK4119/vdxPBrLc7yuuAcfBmMSIESMkyyz+fWbB+8wAIIOPHKzJvjOz+dh/5CBM9nk5yJTn5fpnnK6fwUn236dPny5TWXrkMtz2Kko1Qi0518vLdZc96ofq7mdTkl1ksu8sWf4Lar+Gcp3GkW29xko96oZs76un2VENSmnZqlIPCzsijdMqPPXUU9LZ4Y9njh5j4IY/ujn9AjsnnB6OHRF2hk499VT5cW07JTWBQStmSHGaBy6KfPjhh8uUir/4xS+CH/kWHM3G4xL80c+OQRycRoIBKAaeOCKRQSHOI8857usz4o2vkUEkTgvJDg87TRyhx9fIzkJdwaw8rgXGkYqcbpKvkwE83s9MATyOkGTnisFEBh7tlBq1gR0XBgXZQTriiCPkurkeAOeoZ3YZO0J8Pez4MCPQI/eRub2KtllW8tTT6iinWrx2xiytqAUdO++DikQfI+0kmIut9jVksEeK2pESrp4IaMdOSO05CYlNm5D87JOIfd9hu+H9a87D947aFwWvl2PRxQXY+EQJgvWdJPgQriMVrAvmru8kARNHb22Wr1LMGlaOT3B8h2Yqrk8mf+ErFGVxdVZPmedVL347/n/XdMH7Yt7L4J5V8P1KRe+l5YN7rezBPaev9nfruFSKerhqWrMsoM71uHr3Ol1Z+Brk8vWVWHlrIZbfuA0V+e3QEmegZeXJ6qXr3yTu58NTT5srJdQnxuyjNOrlkZ+fL0Ec9nM4yO/OO++UzCf2N9iXY5YS18RiX4rTLXLNavZ1GJziLBfZgP0cronN9biYrca1z7g+F6dLjK+zxb6jzYhify4ODgjllI88FoN37KOx38UAWTZ92Uxgn5Ovl31RBrYYHLz88sulnxzv39YGXt8999wj18Q+M9d4Y1YcB0dmCuBx0CVnx+EAV87+wtlRsukDsx/KPi+vm319ruP9+9//Hg8++KAcg0FNvh4O4uR769clawyo2l5Z6sJKnm4f9agfsr2/jZ1aZOu/I6j8stfxs9yncWRbr7FSj7oh2/vqaXZUQ0s2yl6dV3MFR7stXbpURugxw4uBlj/84Q8yOs4N6HCueWaVcYQcFzqmv9sZqQv4A55BIP6g53QPdupGTrVoweNy6gqCc9pzRKEFf7SzI8LRcLwGTlN4xhlnyCi5uowCrA58zex4TJs2Df/85z9x8skny1QX7PRwysjawAw0BhT33ntv6dgw042dRt7PmjovDNQxYMlpFPmaOLUlO6B1AV8/r52BRY7o5IhNHufZZ5+V9doyBeg8chHRdipsv0LEWzJPPXXpjMFLZF2ybFCYd3jDBMk4ipkXIFQYKTK6WZWMNGavUoy92qI2xUR0wTHbd0Bq/BQkCrYg+enHGc9J/tpjp+HVq87A3sP6YM19xVh+zTYUza8Is3lUb0Nn6GgaKeo7tIpO9NnozPGNHFLlGLGRd8+jZbceJCBi7dpH7JL95NRXMn3t8aW+EoOeVXOCes3Be5LxHlmbKbxXcl+1X/DeGFuo09Tl9fsR3nNboj6k+jpcvS1WH8qKKpUUR+ZrCq4xkIFNT5Vi4be2IX9WGVrk7YdWpVchDzrjgp8ETz311IWW1LeF0Oq8mivYX+GU8pzZggMDObCQgwPZ77F9Q2aZcUAj+2wcvMegD/tG7Kfo7+K6gdPGM8B20003yQwaHGzJgYA8vwX7jvb8XMfLgjN8cBYT9he5BAAz1DiAkVlnNU3RXxfwvJwakrN6sP/F83GmEq5jlmn2FBcMKHLAKjPu2B/m4M8f/vCHMjC1pr42r5vBQs4mwukTmQnGtcjqks3GviEDYTbbjEE3TiPJvihnjeFgTI/Ggmg7FbZfIaIentaXetQP2d7fxk4tsvXfETTJr4HGUlxksjel4lF3ZLqPvtS/aKSNrDZRatn1aI6orKyUUW6/+c1vJGBl53/niDLyBAM+/JHPxZPp9/DDD0umEoNTDRFw4Y97HovzanNEHzsE7PgsWrQosDHwwx/oHFW3ZcsWWTONQTV2vtgZ4A94TgnZEB2cOHhMnp+jDjltInlOScGRfrwW3kMLdlKYccdsPAYZZ8+ejTfeeAPXXXddlXXbqgOn6+Dr//Wvfy2dJE67waBgfcFz2qAfO4v1HSnpsSsQba/C9ktD63zxJXMZ2CUfdx//uOJqhw2SBc+XofH/sdRmF7g+jj1QG0aoKoHeUqMTanm3WB2p5TPYiXTHzqicuDdQVIjk3A+UjZEEx24ZhXR5Kfbs1w3PXnAybjn5QFQuTmPJ1Vux5oEiVGypDIMopMIzE8hkhrmlOj0zh0yWEeUoDbOPqmYjhXXi9ZjBFNAKtw6pkkUf6pj5pP2Mr5Wl0M/o6WuCNfo+6xvl3i9BTM5ZO6kqwWsy9yO4N8wYs/fAFnMfwnvD4t4rI7v3zLHr4xu79TdUvz88r9Vn/2zw+kPZ+pnzBLKh5vVSLpxbjiU/KMLqO4tUx7kvWuIC5FUeaW+NL7744pQQ6jNk9rp90XLcqznB9nW4ZhX7hgymcG1k9l8GDx4sfQ4GfBioscExrk/GvtsxxxwjwZiG6K+xX8WAEvulvCb2XR955BGZjpGBMvZ32DdkkIlTE9ppIe209FwfjYMHd9RUghwUySn2GUi0AT3O6sFMuHjAjAE8LmnAgB/92CdnVhcDkNkM/mSWHl8X6/N1MVjGoNn2gO8jg3PMNrPLIHg0FkTbK2m/KBponS8NUTzqh0z3sqkVF5nsO6sk2uAnpDmPZDKBwsrrjAQM6HULNqwvMlLTQteJ/THxD6cYySNbvDj1dsN5NAQqErfj0D6T8bvJdxhNiCWFS3HYS0dJkIZzpDcncB0sBnHYsWFmFzsPzBYj+E8xTkXBYNVf//pXWRCZgSJOmbGj5ybneTna8IknnpAReByVyNGJHP3HTDdOlcEA1SWXXCLZXjs78MPAGO8Hs8XY0WPnh9NVsEPBTg7ndmcniNfHaSWzmfrCBY/v1pFMBVV4roboWHrkPjit6TOPPoPZh75mNFFMeW5/FJQNREucZDQeHlXBTDJOu1gbGjSTTDOGVEONne2Z/ICPU7XF9QJLqzs+9cJqOd2rN1Jj9kRi8yYk533M/+6JPvBxKQc8VNh/XIkBa7YW4bqnXsc/3/kcLdok0fXE1uh+UmvktWUdtsfaVa6Pf7JaMmlMTzX9zbiS6v00deuEPCkZRWPHCetwR6rVZGxdLWp7KFs+7qdpwFSjD2VDcwF8YEgMFYXlLevK1tESkdULIhW7oycfk63d2iJ6tdPU8IpIFpgCg1eaConKTj33vFpnbYYy7mtk6x/XF31RiY2PlaDg9TL1zOQhL3U4WmBfZfTw8KgOFXhLlWfw+mEvo0+b3kYb4ry3L8SGHpswd95co2keKCoqkvWlOavIggULJKBzwgknBFPyMUDGWTdee+01CVoxYMXMJGYo7Ugw0MQpGO+66y6ZfYR9Vq4HTT0HgDKQx4Ae+5Fcz5nT8+9s8L5wKkNmjLE/zVlKOCiVA1YZdGS/lwFFLiXAKSbrAvmuULC/Ewj2Jyk3xKBWj9zH+++/L/+PuH3SLTi239FGG+KPX9yFW+bfjta4Rv3K8VNoNhT4v27+z9sjeyy+dzaWqNKUcerpY/Gnv+n/07wyaymOPPhh4XcFJFDGrwh+PeQyzcsQKFu/nqP7sqvfmGgX1WhM8oGyOuOFqbdndX89zY7aQNlvJ9+h9Wwp5IdkGksLlzXbQBmnwfjss89kDTIGdPhDmveGgSpOw8gf8ux0cDQcOxxcO8v9Ab6jwekdmcHGjhjXIePUi+w4sJPDEYy7egoIZnlxceMnn3xSgnm8dxzRx3vJTk59O2EcAciRjxxtyA4eR23yvjOzzmb5eTRtuIGysL0y7ZqS937+gCBQVl2752nzpjs9SEYE3w+GWtnVC1uDXUh2draL8notVZuVU4OHIT1kdyRWr0BywWd0p8XYNa8Pp3bpFNJlpaJPa6U4kaP/m4tX4Vez3sYrc5ejVYckupzUCt1PaoskxzMoJwlY8Y8HEGr0Vpb/UYWBMij/0IfU+AU6K1uq9WRIzDJS1duNrO3qFbh6ElMvIguji0jCc8c7YpRiMBCVtms/TeT+iqQQMBauv/UMKY+nw0mOnu1fIDswYmC15ph/qDck4kdqCKkq0t6KwhDKaXM8sVtWy7bYetZOJuQpklE0FhiTgJZQa3f8FKvPTxqXDXWP5+pVKV1aiQ3/KsGWlxkATqBFYn8k0weox6cdXYK75KmnnlallU6grHcb1f+hnh8s036d//ZFzTJQxn4Pp+bnOtNcP4tTvPM7hBldq1evlr4bAz5cY4v26dOn13nA4PZgw4YNklHFQN0nn3wi52awjpluDJC50zDuKvC6OKUi7xEHfL700ksS1GJGGNewrk9gi313DiJl/5F9R9Jt27bJOmnsP3o0fYSBsptxbL9jnPZKt2t/+OIu3OoEyjK1e57WnfpAWd3BQBlLNve3sdJTTh+Lh51A2REHP5xVvR1B1TeK6Qg2AhpF9vUaJ/WoK7K7r55mSy0sxx/05K1HcwVHBXIKiCOPPFJ+lDMww2kpuB4XFx5euXKlBNG4ZhlH5wX/TNtJGDNmjGRtMWjAKRc5nz3nkWdAMxfmSefix1zY+MYbb5Q1xO69916ZHoNTgXCKRmaXMchVV3C6RY7CZCYfp93glB0MWtZ1IWiPpoGwvdKIfg6rtneeenrdgbOyCpKVJsc3UJBMnVWeS1PI87m11Oj0s+voLTW6sFDtyKzlysauD0trVE6NGidBsuSiz8MgmevvFkYayhkk0zKpFO2s/pLYf/f++PcFJ+OJi0/CxAF9sO5PJVh8bgE2PFGiAx0MVghNm6J10RLqa1p/ytVJHU6hR54z/Np6whu7FGMXXy2H9akn7xbq9XF0XV1Pzu+ej7z4aH/hqRc/Uy+gLq/9qhRzPdbHHj84T3U0qBcr9tpFJlWFuoz+WsdzheeL2e09kGNovb5Hxt8em360iY+WI/fMyPo4MTt5XgPt5ti6DnlTgnOFpdpnRqnifNnySqz6TREWXVogQbIWefugNa5Ci/QREiRTDzafbk899bQWamE5/d0QejRHMAgzdepUmfGDQRjeE85QwvW32Hdkv4XBH2ZOHXTQQTs1SEawf8i1pDl9IQNEXBeafV0G93IhSEYwa4zT9/Mesp89Z84c7L777hLk+/jjj+V+utP6ZwP2Obk+HDP9OBUlZ4thwJIznHg0N5gWLGivNKKtVtX2ztP6UY/6obb72jRoiOz8dwxVX8MH/VjkHIdqs3Dt9dONBNx605soKio3UtNCm76d0O+YMUbyyBaMsHs0HNKJ2RjaoR+O6nsk2wv9zwSD/PJ8PLzkLzjuuOMwadIko20e4A/osWPHYtSoUSLzhzl/YDOb7Pjjj5fpNJjBtSunbOA0j506dZJRdwzoMVjGH365Al4Ls7zWrFkj18iAGefg5+hATk1CPTPPGEDjItHZzDPPgOXw4cMxZcoU6WRyPv/9999fMuo8mgfY2V346UKcN/TcSHtl2697Ft2P0srOSGK01nt4GDBAdk8W65IxQFact79knkiTyudMUY5AlTY2kLO0U4hTQVyv2VBQqGJ3bISVA7X1tXpNE+r7onL8ZKBbDyTmfYjkmtX6MpU9QtXGJKGEunhmkkWORWrlQKWZIT264OuTx2GvPUZhwaZtWPj0Wmx7oQKpdAqtBiSRaKH81Al4TzTVQiBzE0HxDGwE1ARBrCx1dD1d19RzZQZOWEH5a19jN7L4GFnzVjZ+qsiOxxG9lmV2SkXl+KLnTtvlGCIbe6DTdq1XVGyqBH5Wpp+rN3JtNH4cWyLno2+8vltcmyr2mJFridULju/q435a1u+D1mt/W5SPUoW6DPaAusfTMn21v61HGvq59YoXVWL930uw8vYilCyuVL83JqJF6nQk0/znsF+b1MOjLkhjufrILcTMoWejfYv2+vuAn2WDJ1f+F8XtinHxty82muYBDqhkf3H8+PEShCK4LjP7lJxekYMr99lnH1nbaleCs6CsWLEC48aNkwGX8rslh8C+Ne8Xs9+47MF//vMf+e3PrCD2wzdt2iTBMi4vwFLb9dOX/VG+L8xK4zreRx99NIYOHWo8PJo6mNHJGZKO7Hs4hncaHmmv2H69u+l9vLVhNlpgmlLU/v8Ij+zA/3W37dvJSB7ZYPOcFVKaMsaM64WTTtH/p1m2NB8PP/Sx8LsCMlO/Ljpylsuyi2z8G7PsUXe496+2++vl2uUAwqqdGAx17c0MnCbDHenHH+IcBciFgA899FDJjMoVsIOwKwN2tYEBsBkzZsi0GQceeKAEyB577DFcffXVMlrw97//vYzwYwBt8eLFKCkpMTWrggEydnS4cDJHRu7sNdg8cgkZ2iuhGtm0f15uPvLgLlvw/NkPKK5mpBIdZMpFIvjfi6HBP2MCWdMa7dwFRbSaWtlQqcti7FbW1JEpcO/YqxRjD0rbtqicOBVo1wHJD99FcuOGoG5Gqs6A8jKRay3OtaSHjcBhXz8NL97wHTx81mEY0a4L1txXjC++XoDVfyxC8cJKE8iwgQ11Hoe6JQh62Awik2GkAyCuX0jFx/gHGWGWN/XFV+QwiEJZsqnEn+c057V+Rg6yreSY9lhKZ6/TLYGO1OUdn0iJ2uy5aqTBa4kV5zVpmb6GtzrHT9stNfbA5uitLihRPc8XBKqsj6kfXouWRRf4mXoxu+bVcWPF6uJ+rr+lW14rw7IfbcPi7xRg8zOlyEvuhda4FC0qTkQSXeVZ14Wb5b3sZS/XJNs9233NGhrIzRMcQGC/Gy2YWfb9739f1mbeFWt/1YSdndFWV3AQJNfh5npqnKnk9ddfl9lU2Be/6aabZLYSrrH24YcfytSK1YFLAHCpBAbfOB1mhw4dIu+RRzOCvO2mnXLbLwe1tX9ezl72qB+qu59NSXaRyb6z5KTqgpjAuepQGF6XqKw1obwr7C7qU9+Vc93uUXe496+2++vttdsDCKt2YjDUtTczMFjDLCcLjkRj5lKvXr2MJjcgo7pVyeVAGTsjzH475JBDcP3118saalzYmkEuTnE5a9YsmQaDa65xahJ2fN59991qA2Zvv/22dIoIZqlR5jptHs0NGdoroRrZtH+urDWh7O1Ny/7c2fepfe0oTu5nuB0IXlAMEZUSrJwNzVQI4Tt2RuXk/XVn4P23kNhaELEHsBX5nVKq215t15lmmak6qvpLt2yN1PjJSO82AImP3kXis49w3B5D8cq3T8YTFx6Ho8YNxqanSyVYwaDFllfLkJLACbO0DI0Vq5NAiMipUCc0JUX4CmunzrFXhHW0v+XtMRWvfAK9Oo4Uyxt9cDwjV/FRNDi/6AwVvfVRdmsTuyliD21CYyWTThf3mFqOFOfYkWOYa0qzvlwL9ZZqX+2vjxOpz3o8ZnBO42+OaX2q+Elxjhf4GJtbz9h1idWXYxo/h7qlfHMK6x8pxoLztmLFrwpRPK8FWmAGWuFKtEidqJ7dnurZ5RY+9ty7srd7uytrTSg3d7vdV/n9FcjNExUVFULdABQzmEaMGGGk3AGzrHI9UMa+LfvdnC7yqquuwujRo+WaOZiVM5NwlpLf/e53Qf+RyyMw2ywTmInG/iJnOCE++OADkT2aGTK2V7ILUFv75+3Z2z3qB/d+6jvq6qKy1oRyY7G7yGS3RWtCuaHtXBqbfVkFG0HLTHPB7iKT3ZXjtLHZPeqOTPfVUs15e1xvaSZ7AMtqQyg3U3Ce+WymAtzVYGeBnR0GonIVdtQeOzyccuSHP/whLrroIhnhx4AZwc4lpwHhAtOcXmP+/PnVjvb76KOP8Nlnem0dTt1ImWvGeTRDxNsr55Fx2zmtjspx6u2Z9ZY2ZjszyQZ1yadTjWAmWcOsS6YgI1Vt0dehGV2kfXOpsVfR22I3V2f1GeyqwQUGDUVq4j5IFG5Fcs7bSJRyKkVjt1TVIS+FXYbYmmS10XTHLkhNnop069ZIvjkLyTUrRa9LEgeNGIC/nHk0Prn2G7j6sMlotTgPK35diCUXbcP6R0pQsSklwbAgW6iSvOrE2OyiIMtIF5stJLxkIxnZUH0MoxNeHcvotT9lrQvqSICFvDq3ojobjToti80UyZoSf1uidl2PfGgXf57PnlP8LO/6W0p/cx5zHS4Nzx/Wy3iOoBhfe4yghD7BvXH97LEi1xqtp8/p6JXMawneJ8dP3oOInucIffm+R1+H5kN7lHcpS9FnFVj5myJ8/vV8rPtTMVJbeqElTkKr8mvQAociiS7mU6Ie3xjVXFW9pd6eWW+pt2fWW9rU7OQCYtiAt3IzBPtkRC4PXrQoVb8Hcn1WDvmtocBMvHPOOQc/+MEPMH36dJnW0vbROWCSa5dxessnn3yy2uAf+4nsL27btk1kBtooezQzZNFe2XbObe9cOU69PbNe7z3qA/c+2jtp5ThtrHYXmeyWam7H2ZOqq2GiZrlPXWSyNyXqUXdkc189zZ4SwnMUuWLi1CO3wfcpPk1kroFBPF6jHWnJqS847eJ1112XcQpLLjDNRaUXLVok0zRavPLKK0En1MPDbadcaqE0um3ztFnT586+X9Ymqw3Fyf1RDhMkY0USQy0CuTa7C+pUiZusLHUcexVKm7FHiqtzeZY2nGpxH6SGjkDiyyVIfPgeUFkpNkKo2sm5yZKqtpVrkpGNFLUjJeI0tdsApPaagsSWzUi+8SKwbaupp7PNNK+K6okM6NYJ1x61LxbfcjV+/+PLMarXQKx7uBifn5WP5T/fhs0vlqKyRL1nldEsIZ1BlDkrycpudpNkQVHnZC3pzCjtazOgtC56nNDH8I5fWIx/TfZIsbq4ny1xH1svjUqH10XbRe++rgjNVByfTNduX3PkXhk+sFk7bcZHfA1PW+TeVac3Nvd4Ss74Hsft7vGMf8nySqz/RxG+/M42LLl6K/L/V4qO7fZES5yPFqXfRBITzHPIzVNPPW0ISk72itT0O8wjd8E+Wa4PCOVgyuLiYuEZHDvhhBPwox/9SLL0Ml071x3j+m9vvvmm0UBmHGF/0sOD0G1U1XZLcWIn2MpR8nT7qUf9UNt9bQrURTb+O4oGGWWNgbrIZG9K1KPuyOa+epo9JexeD9yKUw+P7YMdWekGuThn/6mnnirBMs5Bb8EpLrme2ahRoyQwtmDBAmOBTM/I7Dl27v72t79h5syZuOaaazBnzhzj4dGckLm9ChstpRHJ0+ZLf3jgrKyCZGXJYVKC7zxD49+BWdm504wuVo6V4Cqt7OpjdlusPtDF7CzYbSBS+0wDWraSLLLk0oXKi4cydmHNsYTyT3UVKmpek0ztQsqpj8aOR3rYSCS/+BQJTumo2mYkksrMYuqptl/LqvB7oGdvpCZNxRmHTMXLM4/Bc98+EeftOxbJuUmsvLUQn5+WjxU3FaLgjXJIlpKTbSR8pdKZ7KSIXXRattlFwsf9FR/4R/TGz9VTZ+qExzT64LiO3da1dtqs3frHS3A8h6o6NmPMUn0cytov0Lv1AlpTsfVMMdetM+iMPf4aI4V2o+d12tdtrk/zplh/VXh8/T6a+sZHMsisLP5Wr2mED46dRvnaFDY+UYpl/7cNC7+5BeseLsGAZE/86JJv4LOffgvv/+Bw/PWi7thvWIX+jKjDeOqppw1HycleiNLFqIdHQ4CDQNnvs+DaYvvuu6+sW7bffvtJUMyC61cfd9xxKCwslD6iBbPG7BSL7733nqyXzf7jI4884gdfNlPU1m6xlaPk6fZTj/qhtvvaFKiLbPx3FPUZZTlKPeqObO6rp9lTwu71KMA49fDYMWA22YEHHoif/OQnGDBggPqhmpBss0MPPVSmA+G0iu46ZevXr5dnkh2nI488Ej/+8Y9x6aWXSlDNo/khc3sVtllKI5KnzZNOG7wY186YpbiawakWmU3WYODJa4KxW7dsqC2EK7sFrVojNWEKUiPHIrF2NfLefRMo0Ivbi92hIaPATLLyMmFlzbEIVVBspH7bdhLsSnfugsQ7rwGLOZjBrFemQJ+0asulCG90A4cgtcdEJDauQ/Lt15AuK8c+g/vglpNnYOkN5+Mf5x+LkyeOQNnbKSy/cRsWnLYFK28vRME7ZZJJZDO/bPBFMouCDCNtt3qdMWb4SmaNVc1GkuPE/UyWkpzP2qljRpPjq6k+ZnB86q2NelN09pShwXXY42kqvD2f4SO0Gn2VeuZ4+jVqWYrINZ3LXJeUkA/9tS6Qg6KOaa5Fjhkc15zP6PQ5MvkZmynue6Xrhccpz09h09MlWHadejZmbsGae4vQM789/u+o/fDmdTPx+j/uwneO3B+9O7dHj07AoeNS+NflRVhyyxY8emkh+nfXGZXqyJ566ul2UnKyr+V3mIdHQ4PBMfb7rrjiChx88MGynjj7hZzSv2PHjhL82rhxo/GGrIXN4BkxZswYWe+M/cfDDz+8UUyR6dHwqK3dYitnLJ5uJ/WoH2q7r02BusjGf0dRk1HWODYXrr4pbh51h3v//Lb9Wwgl6SE1iiV1ZA+P7YDtiOgfolGwwzNlyhT84he/kEwydnqYbWbx6quv4qGHHpJip9/gc8nMs4EDB4pvu3btRO/RvKDbJ1Wqaa90C+e35rpdN+Nl8yRUj1Sig6xL1iDg82cLr8DwGWnMbouWxeroqRZNKMfs6NMPlVOnI92xE5Ifv4/k5/PUi6sUOx2E6rOKrItSKB9Ulkf94tScizJ69UElg2Rlpch74yUkNm8UW4K9DKE6c0x4KTqbLD16T6R2H4XE0oV6rTT1XRD1SeDIsUNw7xlHYNUvL8ZD5xyDI0cNRcFL5fjyhm1Y/I0CrLytEPkvlaF8U6UETphppDOaVEfHyUrSa1yFspulFGSkScngZ/URP1XER50z0Mfsgc4UHtfq4sd3bQE1RWy2xGxVZFVc/9hxo6/VFsfHvKa4Lsguk0KdsQtPP8NHjmH0onP9onr9HlT1CzPOnKJ0JQsrseFfJfjyh4X4/Mx8rP5DETquaI3LDt0bL179dXx07YX4wbEHYMweY5h6AKxbHTxXBGnb1gkcMDKF2T8qwuzbWuGua7rhsvP64YwTemLvCR3lM+E3v/mtbhu/F8yHTHj7mbOyh0dDgNMruhllFgyM9e/fH//3f/8nWWTHHHOMTNlvsXnz5qDv+M477xgtpL/I9bHZf+RUjh7NE7q9UiXefglsK+e3htg86gf3HjbVzYWr39mbyShrHJsLV98UN4+6w71/ftv+zUKktNEI1bKHx/aCa5TxWbJrlMXBDs/o0aPxy1/+Ujo87g9W1ikrK5Nin0faXZ+47NE8oNsr9Uw47ZXbYhmt35rhlu26ZEWJ/TRjHpzgOy+QNa3VTvD5E1kreR1CjZNQ+atqJ6fthpdiNq02PPeOjes/7jEJqbET9Dphs18DNq4XGyFU6juyocwiS1dWmGNXLURAFZPafSRSY/ZEYvliJN96GekSDlzQmWRuPV2Mnv/kmrgP0v36I/HJ+0h8Pi+DX5RnW378hOH489nHYcWvL8GdZx2FgwYNRukbKT0941lbsPSqrVjzUBG2fVSmM5EkO0lnH0l2UnVytXrHRio24+faA731jdkD6vKuj1vi/qqUO3zcVkXOVMLj6vXNKLsl6pO5nvXNbNf3RPHBPVD3X+mCrL3Az9otb/WZZFUUX745hfxZpVh5+zYsmrkFiy4vwNoHitFlVRtcMGMi/nPZaZh/w8X46YkHYvLgfuFz3as3UFiI9Nat+jMiel3k+e7YGckpUzDo4PH4yunDcM1lu+HWGwbjyYdGSRk3ui09/eY3v2W56c8XidEIDWUPj4YAA1vMCMsE/lZgBhnXvGbAjJllFswqs31Ht+/p+44e0nrZdirefgmMzm8NsnnUD+49bKqbC1e/s7dIRhk7tu6We3IILYc2bk1J9qgPwvvHzcuuVB9Zw3Jx2lzBH+acC91j54EjBxlUc8EMswsuuECKzRwjf/rppwvPKRspT506VWSP5oWa2i3dvoVtHTcvu1LTlGcMXppVkIyZZJXJPlpgVRL7T5NA1rRWOxVKEJk70Rsa1HFk+dN6e0yhqmhq7VrWJsvrgv6Dkdr3QKS790By/lzJJEtU6OwwscsRpKKWA71iK7h2U9VjukXtNG3TFulJ+yDdpx8Sc2bLubQtqeerMHw0k0wVTtE4ZT+gfQck334VyVUrHP94iWeh6fO3b90KZ+wzFn+/4CSs/udv8MQ9N+KKo/bDoJLO2PBICZb+YBu+OH0Llv+yEJueKUXpKjPdX3XZS062kuilKD/RWx+jt34BtXpNg8wrORYL9Y6fq8tY4v6quHxdSsZzGprpGiNUFfO6g8yuiL/2dTPUyOt7q4qcm9TwPI7iA3/Li83UsXpViuZVYN1f1Hv5vW2SNbbi5kIUvlKB/foMwK9OPQTv/PA8zL3+m7j5q4di+shBqlIIeU5at0G6Ww9grckmE71Ydek/AOkJkxSbROXcj1H51uuofOl/qJz9JlKff4aJI1viPw+NxoH7dhZ/d/OyK3nZy1HewnJx2hzBwAzboXhfJhehBxQ0fnDWEk7X76J79+5B35FrmRH777+/yHbWkjPPPFNkj+aF6tqrsN0K2zh387IrZS971Bf2TuqtKcpRuNb6Hc/d6iI7GWVEKHGLyrlgD6E1oTW7+q6c23aP+iC8f9y25/5z83YN7WmtodxcUV5eLoGbXAenpOBouXgnIZcg/8xSqGunjIExd6FmTpNhj+Xhkam9irZpoYferDbcvD0qNXb7oC6bJZusNpQmx8vaZDsc+qIzwpqqUMO4+kjp1BWV+0zXa5Ft2YQ8ZpGtWq4s2s6dUM1GkDbrkaUlSmHtOpMrE01164HKyVNFTr7+IhJrV2mbaoe59pj4klecLuRV6dINlVP2B1JpJN+cBWzepOtF/MnbehrUCWU7H7T1PF5XpAYNwYzOLXD9oRPx5nfOwPzrZ+KPZxyKr4zeHXkfJ7H690VYeMEWLDqnAF/+fBvWP1KMbR+VI1XMbKcwu4k8gz+S1STBHK232VBij/sbW6SwLn3ssYw+8A8yp8zxxc9eC3nnuE79aksWPvq8Ls9zUzY0cg32msjbYv3oY+xKDu8X7bZeaI8ew9HZ8yue5yxdW4n818qw5v5CLPu/rZh/Uj6WfG8r1v+tGLtt7YhLD52Cxy45FetuuwqPf/Or+OaBkzCyT3fzHGRGqv9AtVPP8+pV8iDJ8yQPlDrn0GGqDEdq6WJUvPU60mvXAEXF2qmoEOmVK4B33kB6yxb87c4RGDsymlkmxwg2c0xn8/ao5O2u3LTt5LXGLa6leYKZTERj6KtwOvtcn7qe97GufUcGzjp16mQkSP/YzTbzaN7I1F7ZohFawi3U283bo1J1do/6wt5JexddOfv7b6VctEfhWrOr70rbY3cyytjlrGnb9XYXrkVvu/76XKnqVje7R93h3r+qm7e7UtWtqt1C2zRn+dDqkatgB4Ids1xekJgBR15npnnma8KBBx6IESNGGAmYOXOmTNPo4UHoNireXoWtlra5Wyadu3m7K1Xdct9+z/GPq33NYICsJDneSA0ACepYqq+SRf5RpkoVmsFuSyAbe6Qwc2aPiTpLS7WDyQ/fQfLjOUBpidjVLqQ8hyNL4ZpllRWiq+KfgaaGDpfzJVav0EGy4iL+B0rZ3KJ9A1n1NtB3AFKTpkoQLzn7ZSRKikUf+lp/w5tMNLWrQpkFhNatkRo1Dom1q5Fcvkxs3Pp26YCv7T0G93/9KCz96UV48YrT8ZPjp+HQAUPQdn5LrH2oGEt/sBWfnpyPJVduxeo/FskaZ6Ur9BpnQWaTyW4SXSQ7KpPesQfHIFWdLvG3uqolzMhSvqaO9rdF2wIanDumr4ma4wXHVzqdzWVt9CVvivhqGhzD6sRuqWO3elV4bAZDxaaoziSjj5IrdLbYxidKsOJXhVh0fgG+OHcLVvxyGzY+Vop+WzrhrL33xO/OPBJzf/JNvHvN+fjZiQfhkNFDVKdVvffZgNM6990NWLVSfbDL1fPCx8Y8P737Af0HITX/U6QXLQr1PHRIkFC/n1rNex/lWwvx8+8PUrrqNvrXtHm7K1XdvN2Vqm6Ny06JsJyVQt4j18E+Wa73qRjgKikpMVJ24GwwX/va14wEjB8/Hvvss4+RPJo7wjYrbK+ibZa2RLfM2nDzdldyN4/6wb2Hu/L909uOsbtw9VW3HWv3a5Tl6OZRd7j3z2/bv8XvKofiOpKHx3aDHTEb0KsLxo0bF0yRQRx22GE5HRD02LmQNirSXtn2y7H7rdls1x74Uq1TLqbQQaZcVO4C9bhEEMhZ2iOgztHHXaWuKpn0YpKd4d2S1wKpYSNRuf9BSPfsjcSiz5F882Vg00ZtVztS7uz1GWL06u5UlCNdWan9rd5QKUYhpHUbVO61N9L9BiDx4TtIzP1A9TCYBaY7NW4WWJBBZnSpoVzHbA8klnyBxHtvcpFJ4+PWcYu16W4MecKlqVFjgbJSJD79yPjGitqRTh7UB5cdNAl/Ofc4LPjxRfj4+vNw3znH4OIDJ2F4ZTdsfrpM1jj74qItWHhWAZb9YCtW/bEQG/9Tgm0flsv6WDr7yWRNSWaUmzXl6Fy7UJe3dqdE6lr/eIn7OFSuwchBllYGP6GmuHUi1C2uTZUqr9EWYw/4qL5keSW2vFmGdf8owvJbtmHpdwrx6YmbJVtszb1F6jlKYL+eA/CDo/fHvy4+BV/++lK8/b1zcdvph+HrU/dA/24d1Tuo30sXMbGKPbXbAKHp5Uu1M591Fk4XuvsIpJZ/idTKFcqkjPxzDiDuwug6LZYuxD4TO+DQ6Z3F329+81v1m/n0BLLo+FmyvBQPj+0DB1py1pS6gMG16dOnGwkYMmRIZNClR/NG0Eo57RU3/mm4Wr9t7+ZRP7j3sKluLlz9zt6cjLKqMbXck0NoObRxa0qyR30Q3j9uXnal+siEQ4W1soeHh0euIt5eaTmUyIVtHTcvu1LTkbku2XUzZim5ZhTn6bUqpCqJoRaBnI2dgihMsXK8GLvOZqmGxuy2YPDuSB1wCNJDhiOxeiXy3nwZyWWLIz5SzPmljrBqRy3Tf7humeoIRPzFr6qMHj1lqkXyeW+8hMSaFYpNal9mi9nMMVMnKHktkN5zItKDhyH5yRwkPp8reu1PH0VN5lh1Re0M1X6knDYv3b4j8rj+GjPixIeuiupXqGVKRm/poO6dccrEUbjx5APx6hXfwMY7rsDzV34Nvzj5IBw7bAT6beyEgmfKsPrOIsk84/pYC79RgKXXbhXdpqdKUPhxBco3pXTGlGRRqY6dmzUl2VW0hXbRid6UgDc+Us/WcYvxCY5pfON1M+kjVJXg+Jl8whJkudG/yrHdonTlaZStTGHrW2VY/88SrLilEIuv2IrPTt6ChRdtwfKfbcO6P5Ug/W4SYzoOw7nTp+B3XzsCs685Bwt/8m388/yTcNXhU3HQyEHo0Ka1vE/6zTKUe00CxMSonc9c3/56ysXSMu2sHMRl1BjJtEwtXKBkvcmfcwD7DEkd6jesl6yyr36lh6lBq+X05mVX8nJzlslrOFTYuN7Dw8Mj15ChvQqarLCNczcvu1L2skd9Ye+k3pqiHIVrrd/x3K0ucpIxO9XNURuhae7KIbLzb7yyR31Q/f30cn1kwnKKChtaPDw8PHITTrtlqf6zkuxJw/bOy01NHtglP7fWJbPQFxjAigE1TBW9Kqn+g1A57VCkho9GYtN6JN+YheT8uUiXlgY+3FV3DDFU6iwyEVVHQFONuEykho1AatxeSKxageSbLyFdtE1pdbaYUKeOXUNMaKvWqJy4D9JduyPx9qvAymWBn6Vh0ceResJrBFT0hLL17I30bgOQmPch0oW8FuOndlXqudQKCg6LvGQS+wzdDd8+aDLun3kc3v3Bedj026vx9u9+iAdvuRbXHjcNRw8dhn4bOiL/6TKs/kMRll6zFZ9/PR/zT8nH4osKsPS6rVhxWyHW/rkIm54txdb3y1DyZQUqi3WGVbD2l5N5pXW6uHyVwmyuSvIOFVsNlH5VMszCIueTY1ne1JFjWH99jRWbUihaUIEtb5Rhw5MlWH1fEVb8ahuWfLcAC8/dhnnHb8YXF27BlwyIPVSMsndaoGfFEEwePR1H7H8iTj/kG3j6igux9F+/x7N/+Cl+eex++Ork0RjWs6u6++HnVb9Haq8Z7hyaPWTKRWarf7mUklGqvx69gE6dUTn/M/VQp7Q+E+yHR6Cvq8WGtThiRme0bWufTa3n3ste9nIoh7C8osI6sofHdoKDGNxMYA+PhkG8nVI0eMyqtnderr/sUV9kvp9NSY6iqn1nyRwHqrqd3HKfusjGvzFTj7oj0330tP40CqWpqmyWKDX/kPTYftg1yuo6fYaHR82IN1a6/bJa0nh752nTo/847VHF1YyGXZdMndkEegJeFclKITU6nb3i6C01Oikurwr69dcZZKP3RKJgC5JvvYLk3A9knS/loH14VFIrC+tQCZLptjbqR2qyw1x9m7ayphizczjVYvLTD+QYtOnsMScTLFijjPXVsTp0ROXe+wMtW0m2W2LzRuMbq5ehyFwXPIZzPKtPd+yE1MgxSCxdiOT6NUovr0ZTtdOiI8fsAqvnLk4t1Gsfvt8+OGFIT3zvsCl46Oxj8d73Z2LzHVfinWvPwZ/OOw7XHzcN50wZjwO6DsBu6zuh4s001v+tBKt+U4hlP9yGhd8swGcn5+OLrxdgyeVbJTtt+Y2FWPXbQqx9sBjr/1mMzc+UYMvrZTLFY/HCCpStrURlYRqpUtVFkww0RW3mViSTKyx6LbF4Mf62PgNfJeq7dksKpStSKPq8HFvfLcOWWaUyxSSve83dRVh5WyG+/Mk2LPm/rVhy8TZ8fuoWzD8zH4u/U4DlP98mPhsfK0HlR23Qu3wYDtjjUFz8zUtx/Q9/jt/e9iAevOcZ/O6m/+Kymb/G8YefjX3GTcfg3kPQp2tngAHOVavUbeb7xPdAbrpsvPdy9+17oXfaVkfItIvr1iJRXBzWJxk6DOlNG4H8zVpPnSGEXJecXxdtpk4xG9apRzmJ8WM6hHpPPfW0Cq0KpYuoM/k0fXDdL9/XaTi0bt3a98c9dgDi7ZPbflVt7zytP/WoH+L3sSlSF5nsO4tGMspynbrIxr8xU4+6I9N99LT+VKCYYK5m0kBuvvA/zBsOdrHouq5R5uFRE6q2V0YO7MbH0yZLnz7nKUzoozOYakJxUk+5yOdDM4YYGsq12WVv5KhR6sqfQ6m3VOz6yrVruKV2G4jK/Q5CatxEoLwcyffeROKjd4HCrcpKX11fiuWDTR8LDJbIWmRcF8we39ZVO8tLUXv1l+reC5WT95XjJV97AYnVXM+JXQfXl4UZNjrLRq9HlkCqW3ekJu0LFBUi+fqLSKtrJaL1tG9Vnd4JFTY8J1q0RGr0HkhsXI/Ewvly7VJot9Qt1JExvFBNNLV2Sx2kRo9DYvMmYLmTBaeceD9G9u6Or4wfgSsP3xu3nHYIHr3oJLzz/XOx8leXyRpbb/3gHDzyrZNkna0rD5+KE0eMxKSW/TBocxe0n98Kpa+ksOHREgmWrfpdEZbfuE2mdVx0WQEWnLsFn526WdbxmnfsJnx2ArPWNuPz07dgwdfz8cU5W7Dw/C1Y9M0tWHypKlcUYNHlqnxbT3O48Lwt+OLsfCw4cws+P03VPTkfnx6/CfO+oo550mbMP0Md48J8LL5yK5Zdvw0rbi6U6STX/bkYm/5divTbCXRd2g4jMBD79RmFMyftgWuPOQB//PpR+Pelp2HOj87H2z/9Aa675I+45ju/x9VX3IgLzr0Cxx97BsaOnox2bTqjpLgcleVlSKnnNaWeu0pVBgzvLVlelVwXzNxH91mVexvcY01FrbXi66I6OT1wMNBSPSdLl0hdqc+/7j2Atu2QWrRQfK3eEkL0chwqxUMV6hTdtk29pkoMHdQ61HvqqadVqIV8buRzpDZSI9OrOYJBMgbLPBoGrVq1QllZmZE8PBoAbKNi7RU3EYwDOaP1dDupR/0Qv49NkYZgP7GqfWdRySjTMbPGQENk5994qUd9kP399TQbqkDGjKwV6srNGHoktIeHRy4iY3vlfGY1Z9sxT5sSHdClAq98610cNGi2aGtCYd7hSCU6CB+06ZYYGspZ2CNFtFHZUO3LP1dWktUz03bQMKSmH4702AlIlJYgMWc28t55DYn8TeInhZupn7Fw4yAEruElpzeZXIhmdKldKOe1QGrEaKTHqfOuWIrkGy8gUVIU+OjsrjD7jOuTSbH6/gORnrA3EmtXITn7Fb0OmtSz9S2116Drad7Y5HixOrwudU1Ms0p+8oF+bcYeFKuzm9GrXZQae1W9grr3qT32QjovD0m7npqC7AN/YUUbPQ7QuV0bjOnXE0eMHYaZ0ybg+uOn4e5zjsV/Lzsdb31/Jub/5GKsuvOHWPvGI/j8hT/jndu+J+ujPfLNk3DXN47GL085GN8/ej9cdcRUXHroFFx4wF44e8p4nLHHOJys3pdjBw3H4b2HYUaXwdi3zQBMyuuPyd3HYv/Ow3Bw18E4ou8wfGXISJwyajTOnDAO5+4zAd+aPhmXH7YPrj5yX/zwK9Nw6+mH44GZX8ETl34VL3/vLHzw4wux9NeXYtNvvoulN16Kj37ybbz0t9/jn1efi9tPPwzfVfVO33sspo0YiCE9umBEl3KUF21DwaYCrFqxCUsWr8fyZRuxbu0WbN5UiOLCIlSqZ7ayjKUU43uUIW+33ZDesB6J8jK5V7oEd9DcSxKtF0EruBN/FxllBsIGDgFWr0TCTA8qhX+DhiDNwGdBgfiKvzVTNscQvVbyT3GGqpIqLsHQQW3EV1s89dTTOLXQHyWjJzVyc4duYzw8PHIO6qMZb6+srBG2c542BPWoH7K9v42XhmDIKvt6DU0lo4zQVEfQNJeJ7mp7iMz2XL/+7O0e9UHuvH9NxS6MjKgxVA+xCe3NFO3btzdc7oJZWhy92LJlS6Px8GgeyNhekTewXJSG7Zq3Z6K5b+/fpRyPzVyBKb1fEk1NKEsO2znrktmLdBC5brULZNVWp3cfjUoGyEbtgcSWfCRnv4rE+29JFhX9qhTuDB+hqv2XDDLO30fZKewBaD+d0WVpun1HVHKqxV591DnfROKzj2I+qqKtm1AyCxXGh+umpUaOQ2LBPJ31Rhg/IpIdxuPYYymEx7HUQFdBasQYpNu2RfKDt3V2nNLZQmRFrVANOK1j5YQpikkh+f5spgDE6qu9UWjCvdEZvcPE9Brp/gOR2msKWqn3p8+SzzGyRQr7DO2HI8YOlWDUtw6ciGuO3h8/Om4afnbCgfjVKYfgttMPx+/OPAJ3nX2MBLj+fOEJeORbJ+PxS76Kp75zBp6855d49Jrz8beLTsKfzjse955zLP541tH4zdeOxC2nHYYbTzkYPzlhBq5Tx/zuEfvivGkTcNKkUTho1GDsNagvhvTojM5tWvPq9PV26SLXis0bzfXbz15Ip3dejuL8jVi/ej2WLF6ryjqsXL4RWzZuRtm2LSgr3IryokJUFBdin+FtgM5dkHKzybhlOrZzjzUiQo1IDR8FlJYg9cWC4NhSOqnXwyk7TZaZwD2sXI8wphgo1nVrWV4sgTKri9LgyN6ekXp7c7FbxH9/Wbk5g1lQnHI+11FSUiJTG3p4NCuwiRIatldWtrBclIbtn7dnotXbPeqHbO9vY7VHseuuTzLKbOE+Koe8lne1PURme65ff/Z2j/ogd94/LYe8lhufXQtGIrWlmaMxdHT4I4+BssZwrR4eDY54e+W0W5YjtYX7qBzyWvb2qBzyWt619v2HlOC9q5ZidKenkUwzm6R6MIusOLm/kRoA8pyFNLhSKwtVWkuNPZA7dER63F5IHXgk0sNGIrF+LfLeeAnJj99DYusW8YsUuxlZ7TQVrQIzyNIp4UVj7IE/taRWZuk/CKnJ+yJRXIS8V59HYh3X/7LZXskgy0tkWY/MyqouM+AmTEF6wGAkPnwbyUXzq5wzzBqzxwx1apeB6jXKyKeGDEO6R08kP3wXicJCqsTPUkJJ3IVUjIbSbmStFEVIFVIDB0smWXLVl0h+9D4SZi0ZsSofXd/UUTt9HrdovRRDAhvRqpU6/gSkBg9DYtlidY73gFKuL0ej42d5im79wB5Dy1ZCEuXlpg5dzfVmCfHn+2vP3aU7UFQEcForOY49Xkj37FGK0S1WoHjjWhRvWItCVYo3r0dJ/kaUFthgWQGOGFqG7sP7y7Sh6XXr9LlY3GOqTQncCzUMd9qWBdJ9+iHdqTPSn32KBJ9/cwypv9tuQKFqEzabbExt0jwFocLoOmKzPqLRgjpuh/Z5IhFGa+TAy8ghr2Vvj8ohr2Vvj8ohr+XGYw8QfJAc3srNFEn13cmS6yhX7TWDeh4ezQq2eYq3V067Fbg4hfuoHPJa9vaoHFKP+iF6P3Pz/Q3lutuj2HXXZ9Yos5EzHVHLXTlEZnvTkT3qg4a7/142UEwwqiZGmyPy8/OxZcsWFPGfSDkEvif/+c9/sGDBAqMx71uOg9luvE6/wLVHg0I9U/H2yv08aE7pDO/lxi1/9+CN+Ne5K9AqtQgt0mvEWhO4LpnzOAgC2dC62gXUqRI3WVnqOPZU955IT5yKygMORbr/YCSWL0PyleeRmPsB0oXbxC9S1E5KTM8dn+90qsJkkUXvVbwQci2kXM9pj72Q2n0kEvM/RuLtV5E263CKv+opBHUSOtNLF539lWYAaOI+EqRIvvESEquqW8ssXsJjsTuiqZUd2n+QlMTcOZLhxFem66lNMeFrDSkh1NhFtjRu78m12KYi3aUr8t57C/hyKZ0df+6MzD+tkC0iZ9JLHaVp1x6VEyYj3boNkh+8i+SyJcZu/Gw9C9YRe+BgSQArptu01VSmGtTQ1aIVqqsfQr1n8rapc3ftpn7sbBJt6FmVHjKwCCf2W4EBqeUoXL8aRRvWoHjTehSr92lC5024ZO8yTBqQBHr3RaU8F3xd0SLnUxsvUI5MnWbMnwiidhER+QwOHoY0M9b4jLCeOKjarVoCvfogtWK5rkQbTWR5TuMXnkDrHJEazSSSKClJieRovexlLztyAPl8KU0VauzNCFzbevPmzdi2bVvO9XfYb3zjjTekb2uh2+bcRtu2bVFcXGwkD4/thzz2QTsVowaaUzrDe7n+skd90TD3P5flKBr++NnKklFGaKojaprT+9ySQ2Tn33hlj/qg4e6/lw0UIwNpSK1saHMBpzAsLCzE/fffj2nTpmHlypU5kaXFH27scH344Yc4+eST8Ytf/KLRLRSdl5cnr4P32MOjweC2V2SsbKD5hm4vvbwr5MdnrsB3D9qEPGxD29QbYqkJXJeMUy46A0QFgWxoVnbuNKOLlWNFX6naWx2ztw44BOkpB+gA04JPkXzpGVkTi1PHWT+d8aLry+bqAr1CulJn0fAszNLiFvd1itoJTXfvidSU/SXYknz9BSSWfBHY9BpiOqOL2UZapk3rhW/XDunJ+yGd10KCZCjYnLl+QFUJMtNsqXoOkVVhhhoDIMkF85Bcsyp8XXYzfkExOnUA2ZSg5TilrUdvmQIxNWykBK7y5rwDFBfF/MTTqS+saLlFZGGsnjJF9RrU+5vacyISJcVyjsTWAroF9kg9C9FrqpmABAjEjp04T5ZkwMlRTF17/RbV1jewdRKt2gBt2iCxZXOoI5VjV5UHdU7j+OHFuHJiPs4YvhnnjCnAD6aV4rDhSXRuq97bLt0kkJVetYpnMfVtkTOrzaFUGn1AudckgCumhg7X02QuUs+vssghTN1E392gfhghvWaNrkSbJsqHvlapz8+9W1/0YlN8MoniEp2pqT01vKz3XtZo7nIApZDPEamVDW0uYGYW+2gXXHABfv3rX0sfTbc5uxbsc61btw533HEHzj33XMyePTsSDMh18B6yH+4HWXo0JOLtVKT9MtB8w7WXzV32qA8a7v7nqhxFwx8/Wzm2RlnuU4ts/Rsr9agfsr2/nmZJFSO/nUmtLAbumjbYkSgoKMArr7yC888/H88++yzuuusu9O7dW0ax7cqgFEcnLlq0SIJjF198MQ4++GC89NJLGD16tNjZeWD2G0cwbtq0STpruQR2yPgaeI1lZXpxfw+PBoPbXgmjZQvLe9r46ZtLdUZN29SbQmsCA2QNui6ZvZDqYOxCWrZCatgopA4+Gqk9JiFRrtq9D96RDDIwQKVk93UJVYyrs4XgeLd0qlIKlZEMLdWchlldlmoIzcvT64ntsRcSa1Yg+Zq6hgKOJle+qi2WOjyGVDWyoVqnbJ06o3LSfkiXleogmZvRxF2kvqWGl3NohFQ5G3+W1NDdkRo8FIkvPgO+5NpS2rdqvZppBMk8pPsNQOXe+yE1ehywZTOS77yGxGpmOymoG27/WRivb9QOlII60QeMhnnj0l26yXSLiYJ8JD+eI8EcbTclUs9SBfeNrwXpTp2Q2FageW5VL7Ru6NhRSGJrdPrS4CoNE8iG5iWBAZ0T6NWRb7zWycvo1UeyI1Nbt1KjdWqnr1W8jLuh4qBlDUszI927L9I9eiH16VygkvdXH9ceG337Ib12TXjvFWjSRw05UlfSMBr5UzsTKLM+nnrqaVVqEXwOSa0sBu6aNtivWbp0KW6//XZ897vfxYQJE6SvxraP/bHtbqfrCZ6XfcJnnnkGF110Ed5991389re/xZVXXokuXbqIfatqq9n3Xbt2bU5mbLFvbmd3aQzTWHo0Htj2iVTaK2G0bGF5TxuGetQP2d7fxkrjyLZeQ1PJKNNFeqiGz13ZoqGOl6uyR/1Q3f30cj1lRdwRNSKLgbumCXYU2El47733cNNNN+E3v/kNDj/8cNxzzz3Yb7/9MGrUKPzqV7/CrFmzZETezuzwsIO1fPlyPPbYY7j22msl0+0vf/mLdMA4DQXBzs3//vc/3H333Vi4cCHuvPNOPPfcc3KtuZBxxtfw5Zdf4tFHH8Vf//pXmQe/e/fuxurh0QBw2ythtGzRYO2jl3e5fPNL3XHJPxK1TrnIdcmYTdYgsA+Webgk0O8UKwtt2x7psXshdcjRSI8Yg8S61XqKwnffQFLxfC30ixRXpzbFGFmfAlx/LJVpDTKTkYVoZpamOnMLnbqicvK+SPfqjeT7b8o0j4mU+g5zM72E1xlhWmep5iUwMXGqZB0lZ7+CRAXXsqrOP15MBpkqUkcyyaysSl4LpMbuifRuA5GcPxfJZYvkNcpGP7W5/kKNXeSYXUoLPTVf5T77IzVsBBIb1iPvrVeQ/GI+EmVc24v+PIypJ0fUsjZYwh11RhHYTRGidQwQpcaNR2L9OiTnfaQeQHWPA1fjaxWWt3pzjGyQ7tRFvQ/5qpq+dnv99UaHDkir7+iS/AI5Ji9IH5dGe/xqZLVzaSIvD+jRE6nVq7Rs/OR4bl210UDJOIpe7zXNhHT7DkgNH4X04kUS9NR1eFy1Z+mqfle0aYv0qpViMmeS89pzi9baSKkK9MZP9AkUozXWbygX39BLPL3sZS+bYhF8nkitLAbumiY4SJH9m3/9618SfFqyZIlkbZFn3/GTTz7B3/72N3z++ecyWHBngv3aOXPm4Je//KUM+jz77LNlppSJEydK+8ZpIT/++GPcfPPN0o+87777pN/LQZklJSXmKLsO7GszQMa++Q033ID58+djzJgxxurhsf2w7RNpvP2yaOj2sjnLHvVB9fezKckhMtt3luysUab/2ZvrskVDHS9XZY/6obr76eV6yorwx6kUbg5tiqhQnYGFc+fi4YcfllF2XEOLnQZ2KDp37iyBJsrscFx++eUyWvDtt9+OzO2+I8ARdBs2bMCLL76I2267TbLHzjvvPPz4xz/GkCFDZFQdr+mtt96SThk7N0ceeaR01qZPny4Bqd/97nd4/fXXpaOxK94/nnPNmjV4/vnn5d7yWpip93//93/YjYvte3g0ECLtlS1qY8sm9oDa4uXGLD988kMi14SixH6a0VXVM6FpKFvGkJg9VCiQF1Hr7PVYH3neevVFaq99kDroKKT79JPMqOQL/0Fi3ofAVvV9IYfQNTVVG+tZPXnZHFl9D6Q5jVyKshwiWqQO+aidoC41eHekJu6NhDp/8uVngbWrjY0IM75C6vCqx0Ca6rMbUuMnSxZW4p1XJYuH5yIi/rUW3RnRdXUdZt1Vjp8o64UlPngbWK7X8pLXQ19L7esklYq0hXbNKbRogdTQEaicegDSA4cgsWYVkm+8jOQXnyJt/vEnfvY4Qu0RYrJW6CPzj7JrD/SK66vu0cgxSKz4EonP52m/wG7r2VpGL6LRCxVNgEyyrCXGYNSmDfo4DrKp78LK6Q6dUCnrsJaiuJj/yHWvhdQWIpMc0nS37vo9WL1KjiEbqVvMpgTuNSXDnfyJVnxdpJkVOXoPpDduQGrp4rAOa7Ae2b791Ae/EGnJlhSLPlrgoIuIojcl0OsiULRtl3b4fHExLVoVFC972ctWtpDPlfkMyRZQ49CUoF5U/qpVeO7ZZ3HjjTfi8ccfl4wtDrQcO3asvPZDDjkEM2bMwEMPPYTrr78e//73v2Xg446eep4BubmqX8ug2M9//nN069YN9957L0444QQZqEj7F198IQE8Xjv7uewzsq/LjDP2Mzk4k0E/BgJ3BRjEY5DvgQcekEDf0KFD5XrZv/XwaChE2ymnGDthJe518XJ9ZY/6oPr72ZTkEJntO0uWjDKisVCLbP0bK/WoH7K9v55mRzUo1ezR6MGOyqJFKH7kEbx7zz1YqjoE3/rWt3DNNddg2LBhEohapTpB7Nj86U9/QseOHSXA06ZNG/zxj3+Ujg/nod8R01TwmO+8846M7mNnZfjw4fjJT34iWW7MImMn54MPPhA7O2Xt27eXYNnXv/51DBo0SOafZ6eM87nzOh988EHpcOzM0YzMfHv11VflXjF4x44jXwOnjOQ99PBoWLjtlC2EplHJ08ZMnz/7fi3UgLLkMFQmzZSLprKMFBXGEKuoxh5RkHeL6BRh9soek5A68kSkJ++PdLv2SHz8LvJeehqJxQtkHSk5gtRzqFRWeyXrQ1reWFRHXbLITN3qS+aMLqjrSE/aF+n+A9X1vIfEe28wtZcHU70AZnWZLC/J7tJ1NaXNHkf5DN4d6TF7IrHwMyQ+ekfXD+qZcwXU1BfZ0mhRO+VmMt06dETlXntLsCz59utIbFgX8aWL2oeycy8ouHZmpaUHDUXlPtMkaJVYsQx5r89CcuF8JMr5vWf8hOPOHsfqeSRHr1nutYV/lF27UfK8zFpLLv5CitVXrWdrGb2I1FMw1EEmOd2th15XTX2XZ+PvojqZWVqV+VuUzN8e5ShRhbZ4UTU0b6iVXYqevZHeko90cYn4BXWCIhqxaI5E60XQCu7E30V65FjukZr3ieOqOTluyxZAr95IrVxpjqCPIccxJdiMSjP8s3pdBOr5JL5YzNei4amnnlalUVBbs0ejx6ZNwIsvYsndd+NJ1YecMmWKBHSOOOII6XcVFRVJH47BJwakuKb0/vvvj6effhq///3vZfAgp8lvaDAAx+DWP//5TxmcyMyw6667Dt///vfRq1cvCYhxze3//Oc/ch0MpjG4Rx8OwNxnn33kdXzlK1+RqRrpQ8oBjwwe7AxwCktmjvHe8fwbN26UYN+ll14qg1c9PBoebnvltl8artXT7ace9UO297ex0jiyrdfgtDV+unO+7bYTSdURL6q81khA/163YsP6IiM1LXSd2B+T/nCykTyyxQtT7zCcR0OgMnEbDu49CXdMukVkNhS24VhauAxHvXycTO/HRYobNdQPb8yaBbz9NspLS7H5oIPQ9pBD0LFTJzGzA8NRdcyA4vSF7Dwcd9xx6NGjhwSbmFHGDg8DWuPHj8dBqv7AgQORx5He24kFCxbINIqknJ6QHZY999xTAnfsqLATxOyyjz76CK1bt8ZJJ52EqVOnij0OTp3BztpTTz0lc9Bzug0Gqjgyb0eBHTFO5cHXwE4aO1/HH398sJaah0dD4hvf+AaeefQZvHbwS0YTgu3Xfv+bga1lg9AC/vu1KWD64CW1Bso45eLWvJOM1BBQ34LyRRjSdPee6kfpYJkuEOUVSCz9AolVy1Wja3+jmm9O+0/3OK3OLgEyVTL5C6tl/jNfvp8tVZuVU/0HIT10uF6P68O3JbAi9XgsezyhVjZUWC3LcUaMQVodKzF3DhLLFjl+phAMpgnr6nX9tCpyXaSUaaGdfLcekh3E7J/knNlAmRnEQbsQ7c9jyd6pz8w0utnXnerTD+lhIyTgllj5JRJLFiLBNWHEbvykntQ0sr3NRrZ+wglTRQ4crU6BWWupQUOQZBbZWk6raRGez4gGoUcEvKAsULn3fkisW4Pk0sVGs51o0VKy74reex9lK1bK/SDatmuFNm1a6vsj90m9VsVo2aFqk9dp5NR+M1CxaKFkfBH2eELlT21UqZ1YDA3sYgypBQO+nEoz9e47OlvMmEM3dZzd+iMxYhQqX3tF1v/TWgNxDN7AuKigFZHz9uwFjNkDu+87B4VFOzYDxMOjMaMSb6ECT+PlQ15A7zbqc6PgfrwufOdibOq5GXPnzTWaRooi9V2q+jd49VVg8WJsGj4claecgp6DBomZ2Vfsu3Gd608//RQ9e/aUmT7Yh+MAQa5hxsGPn332Gfr37y8ZZ3vvvbdkeW0vOAPJG2+8IX0+zjbCvt6xxx4rs6QQzNCaPXs2XnvtNVmzbNKkSXJtXIO7Snur2nIOFH3yySdlQCivlZlx7ENy0OiOAM/JgBwHWLL/zWuyGXl2mQEPj4bC+++/j8mTJ+OWvX6No/sdabQh7lp4L27//DdojR8oyT9/DQX+r5v/8/bIHovvna2K6ss1YZx6+lg8/LcThX9l1lIccfCfhd8V4FhRYRoLtcjWv7FSj/oh2/vraXY0RFwTtzdCcOql//0PuPFG3dEZPRotv/c99DrxRAmS2cASR7E98cQTMl0F55nnNIwMkhEMTk2bNk0Wa+YUEBz5Rn92KNj54I/9+oB1//znP8soQM53f8wxx8i5uSA0g2AcVcepPf7whz/IOdkJYtYY11DLFCQj2DHjNTITjh2OefPm4ZZbbsE//vGPHTJ1JKcUYZYbC6d7/NrXvib3yQfJPHY8bPsUUs3ZvadNgWaTTVacNFMuNhhMm85L6NQV6akzkN73IKS79kBywadIvvwMkos/lyCZXGdC7fmPJ0MjxW5V9GnJIuMpqsvGks3waqep0Yncrj1Se+2N9O4jkZz/CZJvzUKCGc+0ORlg+vjOOdgrYHH0qXETdJBszmwJkgXniFD3GA4vNkPluNE66X4D5PiJzRuR9+4bSJTp7Ci3KMfMr1eoMtPWVr3eCZORHjUOiYItyJv9qno/PpMgmTJrP1tP13BkV8+dkbVJdto/lOljBOE5vaYOkn2KxNo1xmJ8+CfH07zeCaMRnIvU0deAdOcuQKvWknnXUEh36CCUUy/a+0Ewq6yoyASbjDq4Xy7ln3Xorn4j5eUhre4FDdTLRurwYlObErgXahjutM1BumNnHSRbvAhpTmEq7taLe8VT1283pNevU+9/mT6fKHUxXlbU9eTPbKIXg0B4dd4Vq0olSEYf0XvqqadVaFVUb2mUYGb45+o7/t57gb/9jSMCgZkz0e3SS4MgGQdV2iwo24f7zne+I4EwO4vG4MGDZQr/b37zm9Jv43rTnBWEQbX6TsfIAZucgp+zd3Cqfg5O/J7q13KAIoNkPC4HVrJvyX5t165dZfYUzkDSp0+fSLtnQR2nx+dU+fRlv5f9Rg6UZT+S6043JDgDCQeAsn/LgagMLLL/yww9HyTz2PGwn4E41ait/fO0btSjrsjuvjZ2GiI7/x1FVTfmoB8Ll+Pgd/e114dzEd9601uq49awX865grZ9O6HfMX6B0rqiqUfYdzbSidkY0qEfjux3hFGk9QdRIb88H39Z+jfJrOJItEYFdkA++ACqJwHMnQvVkwC++lXg0EMBTuWg7IVLluC/Dz+MJ9WPdWZycSQeOzqZOhKU27Vrh5EjR8q0iPyRzwAbf+DzR33fvn2zzi5jhtqsWbNw5513Skdr3333xemnny4BMjuXPEfXcfpEjlRkB+K0006LdL5qA6+JCyDzetnB4XXynDw+RwpubyYcs9WYYcdAH3lm2DFIxoWsqwvieXg0BBg8XvjpQpw75GwlxYLUqv26b/GDKKvsgiR8sLaxg0GyQV3yjZQZD3+4F7733AycvldB+PXFx0JR5+tMUCd723ZI7zlZplnkP80SH72L5Kcfqi/GjcrOf3CZivYAwYEUFbY6uwJPxHO4voHZ0QnRlN9BUkXsqgwYhNTY8eoLpQTJt14G1q/RVcTf+BCuHPCOXrXX6T0nId2jFxLvvo7E2lVKT5Npx229oK4rU6X95PpU0ddpaMvWSI8aqwNwK5Yh8ckcc++khvyZHQ8QoZHXSzDYtscEmXIxMX8ekosXIF0R9g/Y4aE/qwu1sipaH5Or1Vc9DpHu2h2p0eOQWLZEr0sW2GP1rByrT1i7wDmvRZXnccBA9XpbIrFUBy6r2FWpsb4qcbtMldipE4o/mSc617+yIoWUen9atWohcq3HZyajohWLeX1aF6lgIDZVxKQELWpFQJVejt+yhXqf90K6uAipT+ciwRMQrGQJdx07ITF4KNIL1XPAqSmVSq7X+NkKMTGAfr9iGWXDhuPJWYX436sNP6jIw6MpIY0VSOELnD30G2jfor1Rhg3Ef1c+heL2Jbj42xeL3KiwYQPwr38BTzwh34+qgwOccALAmTlaqLaxrAxfPvUUfqL6l/kFBdKH41SLzL5igCkO9on69esnM5Vw2nxOzcgMNGZTse+YbcYWZ+/gDCPsd7E+6zI4dqjq13KQJ9syZpmx78jfyQyQsU/Lvi2DYNn0zdg35HHHjRsn0x4uXrxYAlpr166VviOvP9Jm1hF8DezXcrpH9ks52wlnSWEWWZcuXbbr2B4eNWH16tUS+D2872EY3nF3pbE/LjTe3/Q+Zm98By0wTUn6N5DH9oP/6+b/vD2yx+Y5K1RZaaSmibHjeuGkU/T/aZYtzcefH/pY+F2BKhlltscQ1+eOXaN6e2Z9Y7N71BfZ3V9vz85uIZL6kRr1aqT4+9+BO+8EuncHzjoLuPBCYMwY3enJzwf+8hckfvELDNi0CSepjsZ5550nnR0Gw2oCOxH8YX/GGWdg5syZ0vm46667ZHHkFStWGK/qwcywn/70pzKfPKdw5FzxX/3qV6VjwlGAy5Ytw+233y4/5qjjdTGIxlGJ9QlucaQhRxHyPCNGjJDRj1y0maMZ65MJx2lG7MLPzz33nATvOPqQHTF2cjw8dhbirZhtvyzi7V68ZfP23LbPGLxUpl2sCcvyu+LCJ0/Gm0vaYsotQ/DmUjMS2Rwq/j+XQK7J3rKVXoPssOOR7tIdiTlvIfna/5DYsNY46CL/0FElI43ZpbCeanP57/lAV4eidprnWmQT90ZqyHAkmEX2xotAcSF0BpnOELO+VpbsLxbqY5lk6T0mShAo8c7rSEiwzdZT1PhSp4+naVjMMcXH1DE2yb7aez+kO3VG8sN3kfxMd4KU1dQRLuRjOuOJRIsWSI8dj9TIMer61iHv7deRXLc6tJt6ilU0OIOWRTR2sThyoLf+lgrr6NXbpl5DasweegpEybZz7aGfPpySNBPoBaLXVDOhycKoA6R79JbnLrj+mL22+pns6datkSoqlmPa62Qhy1JWWomtW0u0v+xDiLuDdNduSK1fb/zM6+XeHFsXa3MolUYfUO4VSQ1XHWf1nqc+Uc+LRL50MUQ7KS7ZdzeOOgI2bZTzUC/nM55GpXfyZ/W6iI68aFXhP7jbd8DLbxYoSTwzUu3t7d7evO0WEa35PDVqrFoFqL6hTLd4yCHA+efrAZa2fzN7NnDVVch78klMmzpVdS0vxCmnnCJBpNrAgY4Mal188cWy/jT7YVzH+dlnn5U1zmoCp1F89NFHpa/JaRYZmOPMJ3vttZcE5zjAktljPDane2S/ktfG2VAY3Kor2J/jLCZcdoFZXuy7ct0zDpCsb3YZr/vee++V10ycpfrmLFzPuiGmovTwyBa6nara6lnU1v55e93sHnVFdfcxs76x2kNkttdWv6HsSY6aIyzVvY9Qzj27RvX2zPrGZveoL7K7v96enV3DSOmq3o0Se+6pg2MzZwKTJ7OHoqfOeO014MorZVHmtkceicnf+hYOVJ0hZpTJP0+yBDO2mOnF9ZIuueQSCTqxU8JOQHUdHo7Me+ihh2T0IANXZ555pmR8cZQfp9J45JFHcPXVV0tngkE4diB4ju2dhoILTXN04DnnnCPnZTCQHRVO28GMtmzB+esZxLvtttskQMipRNhBZDDOZ5F57FzE26mw/bKoxkM4vff2TDRX7Hcf/5jQmnDBkycG9b7Mb4HLH+uNm2d1E7le4JRvBx8j65AlPn4PyZeeQmLVl+qS1Dns5RlEr7Zmyu+HtMmk0qGyqpQ/2ckT1dHUoKGo3OcApCsrZPrHxJIvVDXa3LoUjaz+mOWlz6OPo4tCsoWetrFLNyTfflkHAh0E1ySHNcdTCOoHlOdQO56LuzbtkBo/GamRY3VgiYG8datDX25KoOwWIqCGSXMaKU612KWrBNsS8z4EKvRaZPSW955/1l8TTbUpAq2nwbWQp05LVdBWvZ6xe8pUj4nP3PV2MtQT3ugtAlYxjro2MHjJgFFyXfR92W7k5SFdXqFuAd+H8ILIaSmtbnEFCrbU/I9btFG/S1q1RmrjxqBeQBUjxzd8xCaEDlrWMNa+uyHdvQdSCz6XLDHR0xQSvWdQuE9fpFevVCKN2kKb5cIKWhPsA71GIHbV7cYrb+lsstgVB9R4V9F7u7drNA+7RcQqn3ktN1owu+vEE4Fvfxs4+miozo60mVi2DPjZz/Q0/oMHo/cVV+BU1YfjDCN1GcTIfiZnLTlaHfvb6hycSv/vf/+7TKs/d+5cybiKg0EwrgHNaRa5hjX7mszAYsYYj/fBBx9IP5RrobFPdumll0ogjuulbQ/Yr+OATV4rj8/AGbPZyDPIVxfw+s8991xZz5p9WwbguNZ2J7NOuIfHzkN1rVvYblXnYX28vW52j7qiuvuYWd9Y7SEy22ur31B2k1HGfWOgITLbmwr1qB/i99HT7aMWRpJ/ugljaI5j/XrgRz8CDjgAqmcA3HcfsHmzzh7jdJGqIyGvac0aQHVs8MMfQvVMgBtuQIKLHqtOUB6n0qgnODUFs6rYceAc8Vw0mSP5Xn75ZdVntA2zBqfeYMeIwSqOArTZa+wcsePD0YLM/uIc9+w8NfQ0FB06dJCFbDnikOdj54odqueff146YtWBQbz//ve/uOyyyyTjja+BmW4NEcTz8Kgf4u1U1fZLazxtjFRPuaja8Rrw8IcT8erSoZF6y/Nb4eaXeuCk+/srXi9ony2YvZOadhhQuBXJWU8j+eUidVh1bFN0WEhRKwd6zQebsQVFatE1g80pameozcwKM7TQuQtSU/ZHesBgJD55H8k3ZyFRYtYiMz5hHZPlFWSOWWp5VSQANQnpDp30tI2bN4le7cQvnkkWFJuV5tgi16mur3LKfki3aYPk+28iOXcOEpy2kr767mleCquElKBd/ii3a4v0pKmizXv3TVnfTPvRS5wMFdbRG5l2bdAI/AOHQK+LVRmGpFUrVI6bIFNtJT/9SFcL7JYaleWtQniy5K3OKmtHundfJLYWqC/gWgJWdUUyj3Msqktx7g8vTTbyWp9KpSVYllY0E9Id9HRhqfzNUk/q2+OQ8jjCB1Z9bFbSjqLXe/Xp4np7Q3ZHesN6pFatEJ2uo9309RrvXn11wG/1KhqkaDftI37CGF2g1zoWfX2GqsLA5IefbEVRkfmcG0dPPfW0Ko1Ca+VDJojbcxDsnz3yCHDMMbqveMEFwMKF7CjpPiKnWWSW09atwJ/+BNVxY0oUcN11kmXWYtw4tMpyKvxM4FpinJ2EmWEcIMk1sbm2NNc728w+rAP6MjD2Q9V/PfLII6UvyeAcBzr++te/xjXXXCPrQtN+wgknYODAgQ06eJHZXhwQySDcz3/+cwkOsg/4s5/9rMq1xsEBouwz/uIXv8Cpp56Ka6+9Focddhh69eql22MPj52OeDtl2q+ITN7ThqEedUc297WxUxfZ+O84ajLKuG8MNERme1OhHvVD/D56un2UUJyMBNRURgVKkMfacxTbtgF33QVs2gTccw9w/fXAm2/qeeU5Ko8/wpnddfPNwIEHAgxMPfgg8PWvA1yMeTs6OS74Y58ZaZzigtlWnA7jhhtukOAZOwkWnHaD03MwAMZOTH5+vnRwOLUiA2Nc1Pioo46SUYD1mWYxG/C8nMt++vTp0uHhlIk33XQTrrrqKpk3311cms8A58NngOyOO+6Q6+S0kRwFyAChzyLz2HUwbZjTXskm7RahZU8bH502eHFWUy4ym6y647yxpC1OvG83/H2OGa1ME4l9PgLZ0L4DkN7vYGDtap0BVW6zlhTcKumUOYY6C6n8kTdUWzRVyqCI3hS1i8hVCusohjSvBVIjxiA1cR+gIF8CeIlli2gUX/7ADzO9RBSqs750aC9atD7FNcnad0DyzZeALer709j18bSgZVvPFKMPizkHgxzqGlPDRiCxfAmSr78AbFhvXr+yk4q/Q6m3NG7n1Ht7TpYgUeL9t5AuLTF+1kcYzRl9YLGy2vG42mJkcqLX2kBPhTYZvWKSebJWFmmSa6tVMAvLsbOeUKdexC5/2miKvR6LauUWLZHu0VOeRxdZ1zfIKKvfFil5LfZ6VDG8Fg2v2MpUGlu3FiNVabIhxcFA/Z5Jl5Xp+2I3qWeoW8ymBO7NOTQVdVI9k6PGyrEq5s01arOJoClZ7hID1OeVz1dxMRVS7N64G73RkRe91hH6ugxVpaxTd/zvta3aV/aeeuppdTSA+fzIpqiVcx5PPgk8+ijw3e9qfuJEHQxjn5H9L9UW4dVXgXPO0XYOtLz2Wh1U4zrXDQD2HTlgkutJc9Ai+40cwMg1qZmBZftjtt82QLV7DFqVlJSoS3pSZjRhH43TMXKGj913332HTmHIgZEM7nGw5f333y9TPHINcy4lUMbvAgdcx/t3v/udLFPAPi2n/edaZAzycZYTD49dB9OWOe2V3TQs72nDUI+6I5v72thpHHH7zqMc+qkYW4hcly2qszcF2aP+yHQ/vVx/WXGGFaqKlXMaHOn30kvA974HjB6tRwEedRTAtcJWmkUwOU0Gg2ePPabnnR88uMECZHEwuMXODEfd/eMf/5ApJZhdxikOt/JaDfijjNMsTpkyRRZIfuaZZ6STwxF2HDm4M8COCs/HDLaHH35YpvA48cQTZTQjp47kWmQM+h100EEyzSKnBuHIRwb5dlQQz8Ojroi3V2G7ZQwCy3tZI7fle45/XGhNuODJk9Q+c33LS3bZrG6qdA9MwQjmQFa7dh2RnnIAsGk9knPe0sp4YQXhzc9ptZNjiTpG9U7L9FTUFrWLyJmLztBK9+mP1L7TkO7WA4l3XkVijvoe4z+jOEBBfEh1HeoCWbLB3GOpYnWKpvfcC+n2HSUrDVu3SB0WOY6lcjwraz5yHKekh+yO1N7q/uW1QPLt15CcPxdIpcSmdhFfkblZncs7ujQDVOp7kgGqhKLaJtV1HbXJX6BXO2sRWW680dNiZHKi19pQrqrndIuSGffJB0iYjOsq9YQ6+ohd/rTRFHs9FtXJ6V69hSY3RKdGzra+RUZZvbecepG8NnOn+UCmzVjU7UdhYalklrnHS7dqradHFF/tHVDqghJaNEei9SKokh4yXH0O26Ni3idIlJdrmzHKOelvNMyuBLPZVq7QtsBP9pqKo9XrQlH7a2i9oV27oVWbFvjP/xg01vV0IbzsZS9XlQ0Uaz9WQh05p8E+Idev5mwkXF+M0/Szf/jii9r+3nt6nWuuU3bvvXrGEq5Txu/fBgbbIAbMJk2aJNP3sz945ZVXyhSFnPLegn3HBQsWyLrQt956q8wMcvPNN2PChAlS323fdiR4LmawcXAnp/EnZXDvww8/lOAeZ1Q55phj8MILL0j/97rrrpMpHP06ZB65hHh7FX56jEFgeS9r1Ef2qDtqup9NSY4jbt85svpW1xEzXYhcly2qszcF2aP+yHQ/vVx/WXGKFQ2pLdqUu+BoO06FYRdR5q+d7t01LyONFW64QXeIOBXjDujgZAI7KwxCMfuKHQh2Gtjh4fzyb775pmRm3Xfffbj77ruFcpTgzurgxMHzcr58XiuvhaMYmWXGrDHyTz31FH784x/XeQ03D48djUztFamGSJoNeC9r5K58z/GP1Trl4qtLh6gyWHFV62uEMqdfvOmlbph8y2As35x5EEJ61DjJQE7Oedto3B/Qhgobbf/0SDR9pipU7eyoeu5tIeJ8nDLTq3Li3kiNHifZY8lZT8laX/HrkjqqTeYaZCILVbJblEqOyTrKnhq1B9JdeyA5++VIkMzWI4JrEZF6XT+gyl/4fgNRuf+BSA8ehsTiBUi89j8g36xXpXZCNRsUQngjuDpLeTyZEvLj95FmZrhSRv3NKMCI3lr0Ln58AfURTXgcrQ5tXAsu3bkrEp9+oqc/NCZNTAXrbsRQYRDYFWMvKEuk+vRDgkEyZjU0NDjQRd1XGUXtXBZZLUavl36VlSls21YSyThH6zZIl5SIr62nOR7XFOGtzaFUaoVkzqX77YbUl8uQ3rDB2O3O+IUEid3U7z31+y69aaPRGBifEKaGIVVhr01xffpizieF+GKxej1BBVvJy172clVZQz7KLC5PIdexUbUffftyXkMts3+o+mJQbZBgn32AP/8ZuPjicAr/HQz2sTgQkZlXb731lgSjOPsHg2GcneS3v/2tTHnIrC4OXqRf+/btpd6uAANfXLeMGWX77ruvzKLCmVUYGOPMKhyEOXHiRJ9B5pFziLdXIouFcCXLe1mjPrJH3VHT/WxKskV19p0jcwyoYrjX1Ja43tJdaw+R2R6WuN7SxmH3qB/Cexi/r5Z6e13sGvydLRKpLWLJYfDHNxcrnjdPT7XI0fbLl+sOD+eZJ3ZScCwT2Dng+mUcIchsLM7nzpGAHDXITg6ztXIp+LSP6hg+8cQTMlXG5Zdfjqeffhpjx441Vg+P3IJ8cmxbxRIoibC9i1Nb4npLvX3X2GcMXoqzJnyg+Jpx+EPnqX3V+pba4uqZXcZ1yyS7zIIPTcdOSO82CIm57yNRorNjbJG22VIeJZDVdwqpTNZAqm3BJj62ONlYEX2Gc7RsifTIsUhN2Q+JinLkvfwMEgvmSUZV6GsyvdT3GtcLs/ro8WlTVLK/tB/1qWGjZN2r5NuvAFs2i07tYpS+9liWquJkkkEdIz11OlIjx8i6YXmv/g/JLz6V164OENaxxersZvRqF6W0tW4rQarkwvl62kWxi4u2GyGzXv5EqY8XyrqQUGMK/YQGjlLSXboiPXAwEiu/RHLThohdE6Owent8qyAhRG+pVdaOdMfOkl2VWBOddrHBkJeHdEVsjTIFczfkWiN6I6fUc2gzyzRMaJV2kbWfbKaO5YOjW1/qyKjXmVbPUbqgAJVfLNB27S7+uo4jt2yFRO8+SK9YLmrR0iY+hhcLeV2MaPSKWr31Ub/TUj164+9P8B/kxlm8M1Nv93ZvZ9GQjxiLCKGc8+AAywWqzSksVE2ZatM468eiRTpYRvBF7ML+I9eUZsDp2WeflXWsjz76aLzyyiuyJpnN0MoVcH01rrPGQB4DZBx0ee6556JjR72OpYdHriHeXokcoGq7Z6ktcb2l3p5J71F3ZLqPYYnrLW1cdheZ7FXpjrJXWaPMlrje0l1rD5HZHpa43tLGYfeoH8J7GL+vlnp7XewawehiobZoW86CwbAjjgD++Edg1izgqaf0NIvDh+uRgjkCdhaYUXbnnXfi8ccfxxVXXCFTHeYiOBf+BRdcINer/5nk4ZGbyNheyY5QsrRvVaktcb2l3r5r7NfOeEnRmnH4QzPVPnN9S6uzf5nfQrLLOB2jRbp7b/UbWf1UXr5EvFxYuUaqdnIGoXUoaufKqf6DULnPdKS7dkfivTeQmP0K0uYfeDockVAsK+lXQ2jK7C6T4SXF8lF9qs9uOvjz3usAgz9GXx3NdMxUtx6onLIfUmMnACVFMnVjYs5spIu2mddDL02lHq/V6AMatzt+tKRGjAaK1Otetdzotc3aZbNyTG/+RMl62uLI/NMK2cxfVN+yJVIjxwLbtiK58PMM9Uic+lRQ1kygF4heU80EJEBM1K59+qn7W4xE/qaMdhf1safVdzwDZfre0kMXLWsnrdcI/NQf1ypjZllFRaUOZLZrr/21p/YNjhUWsalNCdwL5dpv6bF7AupYFR/MUQdPabt2MzWEkUI+MXCQzoZbtULUoqVNBHGixtGLQaD1WmevSbS9+qjXk8ZjT9sMNaOvhnq7t3s7i4b9POmPlOVDe87i5JOB557T/ca33gLuv18PtuRUjDkErjvGvuMDDzyABx98UDK3crFvxmvaa6+9ZDrIkSNHGq2HR24i3l7pJsu2W0o27Vyc2hLXW+rtmfQedUem+xiWuN7SxmV3kclele4oO4edKqaxFBeZ7E2leNQPme6lL/UvBsGQGlJbxJK7aN9ezzHPH+WcQ/7f/9bzyR95pM42yzGw88ApM3bWOmQeHk0aGdsr2RnqS2MpzCSbPniJ4quHnnJxqOIyHyPbctNLPTD51iGSZaZ/NFOts7PcIiPNSK1cLXUyr+pY0KcfyveegeL+w/Gbe1fj7QdfRmL9GjmuvlzuSMmaa0ynjMnJKJOsMVWCTDJblE+HTpKplpj/sZ7CkceQa7b1w+NYGqnfqTPSk/ZFeq+9gcoKJN95HYm3X0OiIN+pR9ZQbkbOSF27vA7KCcmkSvfoheTShRG9+pNiaoay2ISRTcuunhZH1i6i1f5GtnalkGk485LIm/dxqLd+UksLmhq99ROt1gus3hatiiAmSnZTuqe6B2v0ujRV7LXVz8IuGYomy9BeN4vYpELACEI/keSfSiXFZajcWohEhw5ItG1rzsNXT077h8XaHKqeKwmStWmLig8/AMpKlU5Z6E+zqSPFkrwWSPTvj/TKFRJUE3dupPQxvu55SS1cndbrku7bD/9+fjMKi9gWhHpffPGlpmKgP1RGZXkRchuHHgqcdhrwwgvAr38NbN4M3HQToNqzXEObNm0kQOYztDw8Ggjx9srKAlJfGq541B2Z7mNTKy4y2XdeUT1dwvxDIOdpHNnWa2zUo37I9v56mh014D9PZEiNoYGc4+CaZJdfDvz978ADDwCnngp06mSMHh4eTRYZ2ysWwtPGRLk2WW3QUy5md7za6PLNLXDifbvhmbnmn2Itqg5e0Gt01XYkTSNF7TSvM7Es5Y9x8kSqV1+k9j4AqTHjcdc/CzDh8E9w453rccKdvXDzC12wfJMZ6KErCjTLvTpOKoV0Jdev4ng4c3x1aH18ex5FW7ZAao+9JPiW4HSGFvSVSzF1bR3Ra12qZx+kJk6V62QWUuK9N5F862Vg4zqpoetlpuE9CAsRyEYR6tXWfyBQWiLBPNGrXVU/vdN6OxrQ6pWkxQDGzTCWOIKwmkkPGCTTLibnz5OMObEYVw1TwdUJb/QWAauY+AXVgnTvPjqItXYHTbtIlJUh2aa1ujTer/D6yGkpet3iZywEucpUGmWr1TWq5zA5aEhQL6CKsfX0oRwbyfCRQNduqJg3D6kt+YEtsAc7VQyRKdHyWiC94ksaA1MILdlzVwGvR9TcGXuHjkD7Dvjr42ZdouCInnrqae1UQX/gdKHe5XMZqp3F0UcDd98NPPEE8POfAwPVd5CHh0fTR7y9irRZnjYs9agfsr2/jZXGkW29hqcmUJZgH1ioRq7KIbLzb6yyR/2Q7f31cnayAQU7CtCOrrGyh4eHR66hxvaqodpHL2vsOPn5s+8TriYwSJbt8TRql1dsboFr7k+JlB4xVj0+yqaKpkldw8hBFkpMrktRO8AEyNLjJuDRWWWYcuQn+OltK7ClQGeJKSfc9GJXXP6vnli+uSVFfR3ci4OholeorEQipYqYdJYQHZhVRpoeNkr7fDA7tNWWQTZwCFL7H4z0+MkyFWHy/TeRfONFJJnpJucPi9pRo2W7OfZAr6jUdexqF1JmUql7k1yxzNELG9QLZGuP6LVR6w2sTJWorb/VGV4J6U5dkBo8DInVK5HYuN7oLdE+1teKEZ3VE9QFvlaZHdJ9dkNi/TqgvNxodgDKSpFs00ZdmnO/eKmykXf0CuKnHRy/BFIlpShftAgtBg9GXv8BWmvtpKaePpbmaUhwes1+u6Fy4RdI8X5bmynGXXSip9yyBZIDByG9/EskysuMj/EVB/K20CQ1BVZPg9DAX5G+/bB0eSneem+b8dd7sRuq4WUva6rh5QDy2TLUlV0fDw8Pj1xCvL2ysqDh28vmLXvUD9ne38Yqx1Gb/46Tg4wyHTvjXpdQ1jQ37CEy27nXpXHbPeoHe/+29/57e2hRRe30CGBDrdLDw8MjBxFvr6ysYXmrcWVdvN3Kmu4K+/TBi7OccnFwxvqa17Q+9jXry/CHB9ciPWQ40u060MF87Rl/tdPeuhD6WYvqqxS1c+VU391QMukApMZNwD9fLsOME+fhkmuXYMXqUmUlotf3xuLWOPGePoq2MRa1FwdDVRG9EtKpSqQryiXDTGeX6YwwTk2cVudNzJ0DcE0q6hRCqjsJlJkxlho0FJXTD0Nq5DiZYlEyyF59Hli7Spzc+lIMY3kjhoU6ltrsqqQ6dtEj/Ner90Ipws82ffUmf1K0nQj1lF09d0YWu9aG/kYm0yIPqVFjkSjcprPubD16WD9TSVNHL4yjF7Wj144BapLTnbuoZ7AdEqtXGE3N/kS95LIyJFq7GWWqGF6LhtcWo6ePa9O07IsvULF0KVqMHYe88ROQ6NY9sEWK2tCtGxITp0iQrGLB56hcvFgfz2zkRbas3ZSQGDCICqSXLgrsxslepfixGFGbyFq9KAMt0i1aoqJHX9z7F2ZIKtnobQllTb1dU2/39lCvOPl8GerKjo+Hh4dHriBopyxle8VdANt6WZ0r6+LtVta0ZrtH/WDv3/be/1y1xxG3W6/6Hj97uwmUhZGzsBCZ6K60x5HJzxaisdo96gd7/9z7Gafenr09s4eHh4dHLqPmdqs6K6kthLdXpTvPft2MWUJrws9eOVjtM9fPTOtm/+39a1BYWImCvQ5Cut9ApVI2NzsrCyrFblbmOpkDh6B8X3Xc0Xvi788XY++jPsGl1y7FgsUlwfmrUl04PeRJ9/TFzS92lewydUhtMy48F5WiVp38BKdiLC9RsuLV9acGDQO2FThrnrGo7oChcv1duiE9ZgJSBx2F9MhxSGxYh+Tsl5F89X9IrFvl1ONr4nnN+Xh2K8eptoqs70WMihtlW5TcuYtkUSWKikK9Ppw+FiX+SdF2Quut7Oq5M7J2Ea32d2TFpEaMBZg59+nHSKRUx8nWo0eknqWOXhhHL2pHrx0D1CSn+/bXwbqCLUZTsz9RH5kZWcnWrTUvZu40H8i0WYv4iYGS9hOWTAJln36Ksg8/RKJTZ7SYNAUtps1A3tg9kBwwEMlevZHcfTjypkxFYvxEpFu1RvkHHyC1dKk+CI8tRw2PZ9RGq+Q2bXQ22dLFSFRUWje9kz+zsa7RsYgsbkavlfzTsrq+Ldsq8efHOO0i7YTxi8hx6u3e7u0WmTxc6uHh4ZFrqLm9qs5Kagvh7VVpJrtH/RC/j/beZtJb2pjsccTtmeiOsZtAmYWNoFnkmhxHQx8/12SPuqGh739zl60mjLBb6uHh4ZGryK7d8nIUuSOfNWFOrdlkD3+4l2SUhWi482ukkb+lAsd+43N8sbwC6Ql7o3ivaTIFXrplK2U32VlxmrCyPqIU9Zs73aolUn37o3D0ZJTudyjWdh2GWx/YhD0O+gjf++mXWL7KZpBZ2KNYVJVveqELLnu0B76065YRyk172udecRwRy7XLSouQLi8DOnZCgtlgEiQgDGVwbOQ4nT02dQbSHTsisWAeki8+jcTcDwAGapjdFdTTkAG3wXkzUMOQZCpEQIVxrr1TZyS2bNYa/hlDYLdUGHppjRaVZCoEfpZaxkD7h0y6n3qfu/dA8ov5QFEhNY7dEqPQf4HoMBqW5UnjJ64NzPDq0ROJVWE22Q4DM8ratJF75l4mWS1Gr1/7ObIp4mP0FatWofjlWSid8z5SBdsk8JkYtjuSe04AevdFqjKFis8+RdkrLyPFrEE5B48RECOIxSi0Jbn7CKC4GOkVy7WaCJ2Ml7EEDoq1xzIeFnLZzCbrPQC337sGpaV6+lUN5wACL0fh5Siau2w14WctSj08PDxyDdm2V3Gtl6Ooq+xRNzT0/c81OY6GPn72cixQFu385p4cR0MfP9dkj7qhoe9/c5ctrD5OPTw8PHIVtbVbXo4id+R7jn/McNXjgidPNpxFw51fQ8vzFxbj6DPn4/qbV6CodRcJmKUOOQbbphwi2WAYOhwYOBToNwDo3Q/o1lOVHpr27I308DEonTQNqemHY0v/0Xj8nSTOu2ox9jzkE9x612ps2FQh56nv9b25uA0m/7o//j6ng9IoXUJny9Au8SxRWb2iFWXApg1IDxqG9L4HmjIDqSOOR0rx6NoNyeXLJHMs753XkVyxFInKcjmWHCGvhS5JZp4xaGaPr6k+laHcrMxLsXpLxS4WsVMpsrFTz2kHEwX5Ri8m0UsNVxbG6o1sqVi4c2St0IV/wmom3b4jUsNGIrFuDRJrV4vOnt8cSDZTSf8J6+iMXmD1gT17cGpOVKj7v36t0exAlKlnQ8FmlVmYVyvXHtFbmaqAkDHFgLrU2nUom/MeSl57FaUvvIiSZ59B6Ssvo+zt2ahc/mXgp+uLYIkRlCXQJ5Ds2h2J3n2QXjDfOZ3108fRejEYU6jTel20ThdmkxUUpvDnR5lN5oJGF16OwstRNHfZwurj1MPDwyPXkG17Fdd7OYq6yh51Q0Pf/1yT42jo42cvV5NRFqcWu9oeR13rNxa7R/2Q7f319ii1yKzX42m4j1IPDw+P3ETV9kpTIk4tvD0ztdg59nuO/5fQmnDBkyepff2OX1/73Q+vwZgDP8Zhp32KX/1+FT5bmUB64FCkho9BatQeSI3bC6nxk5GaNFWVfYWWjJ6EV1b3wM1/2oqjvvYZRk77GFdevxTPv8Ip9Op2/trsl/+zO256oTOWb84LPcioIlk/QRaN6gJ88j4SS75QsuoMlJcDmzYi8eG7SL74XyTefg1YsgAoLtQZNm7hJsdRrz2ZRJqBMvL6sEKlBP4Ordauryss2kA72rUHWrQE8vMjftpLbdZPeGvhLiZb6uq1Qjb5c+T0yDHq9RchueBT7S92cYjVs9TRWz+j14LVU2ftURh1ABF5j3v3Q2LNKqQr3eymLOs7yMpeprMaE61bKZkKXchrMXx9hNYrObCJt/AiazfxCf34Z2zWz5rIk9OCJnE/FrUlRo1Ces1qpLfkixP1wtBKX1EalYG+DuEoiI48WRFb6myy3z+4FsUlldocIPSPUgtvz0wtvD0ztWhqdsJ8DqtQDw8Pj1xEpvbKbbUsF2o04npvj6I2u0fdUNf729jscdS1fsPZq8koi1OLXW2Po671G4vdo37I9v56e5RaZNZrieNzo9TDw8MjN1G1vQpbLMvF27C43tuj2PF2Trd41oQPjJwZnG7x4Q8nKq7ux89MLbKzz51fjNvvXo1jz/ocfce/j5H7f4i9Dv0Y+x83F4ed9hmOP+dzHH76Zxh/yMcYNOUDnHbRF/jNfWvw4bwiqV/b8bfHzqkYL/9nD1nDTDSSJmNp+Bkgl1j0OfLefR2JD99BcuFnSGxYi0SFzm7TnmqvSXgcLXCv7cwqy8tTNM/oaVF78dc0UuyWycZibGonNN22rT7Tti2hXW1i56ZZ55zyp+3aEMpitHpSVy+s6NF/ENLtOyA5f65MVxkcVzsEfroej2PtRm/9RCmMGO15jaOoXRh1AIrpnr31GmmrV2a0u2gIe6KkWPg8Ts0pFXQRm1QIGAF97OsN/ITVfoHF9TM+Ijl+VhZJFFF9IKtdctAQJFq3ARZ/IbLY6GI3kUUhxZ47vA5R8s/oRER6t4EoLEnhwX+s0z4RWDlOLbw9M7Xw9szUoqnZCfXZykg9PDw8chU1tVuWi7dkcb23R1Gb3aNuqOv9bWz2OOpav+HssUCZh4eHRxSMq9c0vsbDw8Mjl5CpvfItVu7juhkvGa56/OyVgw2XGyjYVok168ux+MtSzJ1fhHc+2IZPPivCug3lxmPn4g1Oxfir3fD39ztIBg0ffHn2FW8/A5aTLJrAbqhmZR/atVHrHcpjUi+RBmaYkUb9pNDHkYlqqWGE8HjMeKusNHpeiWL0nyBCXb09EKF4qRfA8HFV69ZIDRqKxOqVej02uXDt5B5OO9NmWEKoq1AIRLWLHiArMHCT2LgeKI2vX7eDoO4zCrchr1tXdbnh9QYvI/Y65P03FiLwo0+kvuNHkybax/GjVvyMgyFmb47QsjWSQ4civXihui9lxsF6mfpaCBC+FtLQEDl9q1ao6DMAf/zTOhQWRbP3PDw86g77aYxTDw8Pj1xFvL2y1MPDo/nBCZSF0bPM8PaasaPtHtuHXH9/c9dOi7VavnpvDw8Pj10Lt53Krr2qzcPba8b228+aMEcyymoCM8mYUVYVuf/6akbD2zkV4+WP9sDy/JbamtCjYqVIQEvJmiid7ITKJnpLjZ6yU1/bHL3lE1y7zOqtLsqrnaZGJ1Rt8hexqy5K4CcncfyULJKRRaSfcJoKr6nVCwK9JppPyLpkDBYll3yhNFqnfS3hzupIjcrVWT0R1Lc0e6S7dEW6XTskVi43mp2DxNYCtOzeTV2uuV5eumzko/eRvL5PFKyf2uJ+ZuOfJlZWe/pV0cdkU+iaN2oUUFwMrFqhVHSi3ngaXiAmypZSr4vWhYW69JDh2LIthbv+lGktOHGqAd5eM7y9ZjRNO7W2EC7v4eHhkYtw263s2qzaPLzdY0ci19/f7bXXhh17fidQVjViHpV3vT2OutZvbHaPuqGh77+3G5o2NlJbxOLh4eGRe2D7ZNspt/1yEZeisrfvbPs9xz9m+Oqh1ybTaOjzN0X7399rjxPv6oUvORWj/Tyw8LNAWRNd21DZRG+p0VN26mubo3ftQbH22BbUI1WOVm84KmmX/gvX6bI2U0f+hDiyHEZJNJC1srVXq9faVNduSHfvgcTiBZLFpu1qb+sZv6CepVYvjGunSEY4Yw9Rq9yvP1IFBdi6fDVSKXv8EDtKZqAs2bmT3HelpUFsYra8thg9fVybocJrhH662E14KdZk9VJJeC2b0q07Ej17If3pXKTVPTGOQT3tRp2GPTZ3Wm/9RWVFoGNHpHv1xvU3r0Bxic4mozoEjx6Ft7vwdm+vCur0Z1MYzcsHz8PDwyMHYdor22657ZeLuBSVvb1udo+6omHvf+7Z42jo49fFHpl6MR5TyzU5joY+fq7JHnVDQ99/LxvoIbeahkNwPTw8PHIXbrvlUoN4K+blKHamXNcgGdGQ5yeaqsz1yib/sh9ufrFLbO0ynVlDR8WFlHshpI6eMiuLyeiNj+gNlSJ2Y3OL3SJ6U5fFbFYWo6O3dURHYjbzZ/TCRWX+id76Wyqs6gnlIT18NBIFW5Bcs8qxq704GD/RUq85+bN6YVw7RTLCGXuIGuU2bZHu1gNlCxcilU6jcFsJykr1+nEWdTqeQtby1gIlJNGiaxdqpdCkzZrRWrL2dRPGT1gy2k+L1i/Ui83xs7JIooj5tWqFFmP3QPrLpTI9JFXGUfG20FXXI4LzWhr4i0rv1F/pkFH4cG4hHv3vRlYT0OzCy1F4OQovVwP5oBkafPA8PDw8chBue5WJGsRbMS9HUVfZo25o6Pufa3IcDX38usiRQJmHh4dHFGn1x9h6WkbWCG9kDw8Pj9yEaa/i7ZdHzoHTLXLaxZrA6RY57aJH/XHT/zrj8ke6S7BMfyTCUXSWC2Sxx/WOPx30X1CIQDa7UFY8GSNXoWqXUc9/Tsg/KHgs7aSP41yL2UVkS+lsThzuqRMhQGrQEAnEJD+fF9QLzhAh3KtidALhjd4iYBVjX3gdkNqtP9IlJShftVoOkUqlUFxShq0FxSgriwbMGhqJokKgogJ53boZjX45+lVEX49+Xx3ZFPGJ6NNYV5KHjarIIUTHXdSPWrnvxsEQ2eeNGauuqxxYslg0GqFj/DoEkeOHdoGI6my9+6JFpw646oZlovbw8Ggo2M+faScin0cPDw+PHIPbXjntl2+3PDyaJ7gAgGEbC7XI1r+xUo/6Idv762nWVFg9Clf/48roPTw8PHISpr1iO2Woli2s4OmuptfNeMnw1eNnrxxiuOyP62lV+sbiNjIV4z/eb69U6jNhLJaTr3cphg82w0fsVm/9HL31idn5DwfauKNdLNpZe1i9pfafE61aG7uYFKy/ka2/WIxsjdoh0OsiKr1r1wHp/oOQWL4UKC5SZu1jj2f9IsejzuhFtoqAJW91pHVAixZI9+qLsiVLzKH0cbgxu6y4uEyVcpmOcUeB0y/mdetqJHt2Moo6r4e8vl8ULCGjy4bSVnh1U2/ct2IUntwwDI+tHYw7Fw7A62s6oqCU3U/rK4eTurq+CJYg2bsvkmbKRXmGjMU9v/DGP9TrQkKLVZGXv7wWKBswDH99fAM+XVCs9QJPPfW0Qaiw5jMoH0DKHh4eHjkIt72iEKEWVvC0YahH/ZDt/W2sNI5s6zUsVT0V29mScXwZqcaut0dR9/qNy+5RV8Tvq6UaVfXerqlG9Xb+r0qPHI5SDw8Pj1xEpvaKVGxmb6lGKHt7lGrsGPtZE96XjLKawEyyV5cOzlifVCPz8b29qp3rlV32SDfc9L9O+HJTC9Frq9or4n5eqNcbeWuzdkcvm6O3fhG70XO9rVRK+0kdtRMfh9JPlcS2bVrXsXPgq/318awfdzyethjZtWtJ68k4+tTwkUBpCRLLFhs7jWTFQddT+/B4llqrMGqv9bqY4wiM3YoGMTGwp3v3Uy88gfJlXyofc15t0ZVUKSsrR2Fhibrscm1SyPb4FjXatxWgRffuiqFSvxaxCw0dtV7JgU28hX8vvzv+WzAaS5MD0apjF7Tu0BktWdp3wqfFPfHwop74YK1ZOy84BGsHghBm+uWNHoM0M8m2baVG+3BPV+4MtJY72qyk/QjtL5zIqYGDUJnIwy9/u9JozDkdqlFV7+3/z957AMh1VuffZ2abula9WdZKrnKVLQMmBGzjhASSuAA2fAnFDi2E3kli/rZjSmgBAzEBnGCbGlpCCWBMwDbGgKtsMMhWsbpk9V52d2a+e855z23zzs6d0ezuzOj53Tn3eZ/nvPfO7B1rrNHdO6OqoI9+UlUCHwz1dSJSAABoRnyvV/J3Cfe6pRLkTpXIo59UpVof1Ery+FU7vq3XT5PuJ+eV543sJ64o01G5KqPfT1L79q3VB7WSPq6mSnmOvqpSqR8QDPS3a5zGPAAANBtDvV7pMOvrH/rK8PRffvbD4oZCv5vMvz2rgn6t/Y/xRzF+Uz+KUa6+4Z6Kerm5hXNuBYP41Toca+mEqC9tyRNLmAdVKmqJ4ZwHTs0fOSQft1eaNFm3C1Y6T/cXzgtziSKvLUl1PudRn09KlSb1Uv6J5ZQrFsNcp8qGPJS1bu9yUevKIFhrruX2I7i+WUfKhn3+2MWBdevk4w/1XoOG9HifOo8zPuF4pH+Q9u8/TIWCO44xUramfm7PHsp1dVHHZP2eMrtf2So2kX/G+M8p84LRmsMT6Q+lhdQTHNsxk6bQuN4pwTioCZOoe/xE6ho3gbrGjqdfbuulpw7mZRvZC++PRxLIiDrPPIvocPDfAZ/I1EZ4v3J/bh5jGa/0cdl8iaLifMw4uZLwQ5/ZTNt3Ftw+bF+RKuU5+qoK+ugnNZSg5I8iD50HAICmxPN6ZZ7RYfXXP/RVlWp9UCvJ41ft+LZeP026n5xXnjeyn7iirDXUyDq/VRXUR9bjC82mAcGQf6GGB6Lut2wAAKAZSb5eRT7CxtDRUv5esmpXk+lJMib7fqHZ9Zeruum8D82hr90/Tnz458X1nQ3/f6+/YWvdWN8lPE/Kxm6RHi+uL07GgRYK/CVc1uBWAv4YQJo0OdrOTXA23E7XjsDY7iI4VJFVZwcVF55Iue1bKbdzm4t5jozcvDjcUxFE40FAoh/LM1KaNZuoq5v6V68OdpParxMdRkGxUKSDB47IRzI26uMYc3t2y3PSNXeO+MT9xn4u/W8h5l09dmQudY2fSJOmTKaZs4OaNZmmz5hIEyZPpM6x46mzZyx1dI+hfFcPPfBUj2yruP25HeVPCJ6fyb1UeuxRbVuDb/HH4VQeW2ScKvGng4eHFp5Kjz1+iG7+ylMuYaBQaMOUJSj9sxf8yRbvegAA0GyUvV75XrIsgDZGQX1kPb6tqmmybtdYdVeUWTFxny7Gl1sxvtyK8eVWjC+3ilOp78utGF9uxfhyK8aXWzG+3Irx5VZMfAxqJ34808X4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4cism7QNCG6xk7BQAAJqRxOtVzIfEG1aML7difLkV48utGF9uxfhyK8aXWzG+3Irx5VaML7difLkV48utmMhfc8HPJanE3WsW0peWLQ1G/u3Li/HlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvz9FbvjEtqCm0fjdfXcaJLW5GEEouGsttsVzmuNw0WOQWmyMdHrv9yL9EFAs80EA35gHRvr1y1RfPZy9b8U2sDSSKfBjzSn3U06y48CSijg7Kr3xcMtl/2JcpbsUZi6nLZZ6rcMhjHrhxjfAVTvkd26i3J0/dXZ3hfu246U8vgZRKsAoYHCjIybL+/kHxRwVf6bdjO3XzibLwfgPkPvX+GHlcOiGct71/LO3pnE4TJk2gGTMn0ew5vTRrtp4o650yjsZNGEsdPWOogz9SsbOLVu0bSwf5IbvtbX+5qVOoY9EJVPr9byl36LBM0OPg+nLfMozlWizcsSga8zbBYO486pwymV7/3iepWOQJMslppWJ8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRWT8gkbrGQsBgAAmo+y1yvzRjyMF+PLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfzgVqx3cM01m8GF9uxfhyK8aXWzG+3Irx5VaML4uT7seL8eVWjC+3Ynx5Tq8ok9/gc+ukTyvjy0emn6S8rzN8eSv2Qa0kj59PGV+Ovr+vyG/uBiUJq3jXBACAJkJemsper5y3vjgexbVSjn6j+9dc+H+0oHeXJJW44a7nBmv/9n5lfDn6Wfpfe2A8Xf7Z6e57y4JF/sxwJyj5c2Tqcva2WC5zXJ7ouzxYRX1e89jyoAYHpYi/x4wbAbm9e4k6g8fUM0a34y34phvKdoys414D7/zShIlUmj2X8k+upNKRw2Gu83iim5/Y3tTlNi/ss4nlTo1qvjhlKpXGjqPOTespn8/RpEljaUrveOrq7JD70Om8CopNUM4JrHx1GX9vGX9/2eAgn3iMqPXx0I6tlJswgfLjxklP2qLR/WoejGK9zf3jKNfZRePG91DvlPE0c9YkmjFzIk2ePE6ynp5OyuU7gic2ePuZDyp4I7p+T4431/0FS657DHWdfQ7R+nVE27dLxncS3h9jd8sV5lo6RdXGsuZ5Y3po4PgT6V8/v5lWrD7Es6TvZsR8Whlfjj76ukY/8moD5/4QSm7e+gAA0EToy1Pq9Uq8oiPXTyjjy9Efqq8FaiV9HPUoxn1r97Ui0v1yZXz50fflijI+Z9YKmiT7dq2poFayHVdobcojXpXnAADQbCRfp5yGr18V+tAR1Wsu+Jm4SvDVZL8IKuv+oI3R9bu66LwPzZbvL5Ory6QXdOVyHFW9KodD3UoW6bOKuCzed3mw0u1NeY7lTvkNSmGAcnKFWZDxxwAODFBp7nG6HW8h82OqaczLkNduvvOuXzrxFPneq9zGddF24TxJdL6kLje13OZZLiaWOzWqeeKryYKfNXdgvwv4PJKeMJs0cSx1dXUECW/j7iModbqSMWdBlYr84w3QkSPBcZN/+dFenGo+v3NH8D6xSF3HBced9y9tHfBQisfhdjyWc5zS6+jI0ZgxXTR9xiQ5ScYnyDo78vIz8TzZSh5biQrBRuJlf3nqPOccokMHqbR6pcuCkv1rCbyPsCzXijLta67Z4RPOoNXr++lTX9giuetAodAGquI8/1mMe7cGAIBmIv06JRq+flXoQ+tWUB/Vjmura5pq84dT5YoyRc+fNbNP0vj9N5cHtTL08YSvx4flfqOG15YBAECzkXydchr7jUDFvKXwI+W/cOl3ZDQU77/ruRW3V+CH03/0JxPpzf81hdbt4pMzQconNPQWFsNbySKh7kMrPpaWlluYsCcmSKXvPCufKBs4QqXBfspvWEul+X1E3d2uz/NtpGtRXmlgEuEmlGbOotLESZR74veBjSbb4zLU8VqaUbd8kMxsnzUgV7hN7qWOTetdkoRPkvEJs/Hju+VEU9k9uIB/hujnKNFAf4EOHqzz4xiL+vGLPQv7ZI+612Ad+/nkdTXug5rRdZAKwfN28EA/7dt3iLZv3Ut79hyUx3H4MJ+8G6TCYFCFQSpyBeN5E3V73kPHGWdQbuxYKv32kcAWJdNbdD8G33V097F+ImfUFOceR11TJtHr37uaBgqc2STbO7wCD6+q1O51rbn9/ct8NA8AAJqH+OtUqO71K8K8pfBH50GtDH08W9+nqTZ/OL1cUWal586a1yepPr+1PaiV2o4vfHUfc7yysSsAAGg24q9P4etV2QtWltc/+Eb7Bb276eVLHgp8Zb607Fy6e80imZ/eHn7k/L2rxtB5H5xD//XAeLkSRyo92/LAaN/ltkhu86KckXku55Vur7nOZAm0WKDc+jVEhQIVF54o86Qv6ua77cVoIEvc8xzq7KLiopMot20r5Xft1MxtZ/tTbPt4X3M3cGOVcF6in53S8X2UO3iA8ruDxzQEPT1dcsJswvge6si7+xLRn98WvnFPHkopOmE2MJD8OMZq5DZvolxPD3XNnCm71H3KSLD71ftTmTfmMA0EP8veXXtp86bd9OST22jd2h20dete2rXrAB3Yd4gKRw5TsZ/rCM0ff5gmj5XdUefJp1AHn8h8dJlcRRjff/n9mlpuGQ91zJnmQY0dR4UFJ9Cnbt5Cjz1+mNOwL3Pg4eEb5pnQqY11AACg+Yi/RtnYXr8UTau9/sHX4kGt1HZ8W89rRdS6fSO9XFGm586aX5OU99tLQa34jyO0fuW1S3gQZqoAANBs2OtW4vVKAkt1HetCR0irfeQic8NdFwXr5HbQ0dM3/VevXGG2bid/VxYnsS7/pq0Uj2O5LZbbnHDhcSwXjeWyRDkNDlJu3ZNUmnOcfI8XIzmrmqS3PfBNJ0ifT5Lx92LlVy7nljRlO5knieY8X0LONdS2y91IhlKBc9sbSSdTEoSWvwNs6nTq3LDWBUPDV5R1d3fSxIljaWxPl+xIHpU9UA3iIutisUj9Rwbo4IEjVCgUXR7he3y5PbvkIxB7Tlik/WAV/zl5LD7s8bBEzxizmg7t3kFbN26j1Su30pOrttKGdTto57bddGT/Huo/uE9Opg0cPkjnzuyX7fLHH08dfQv1SrJ9e3iH0f4Z0wDNZeSKcfcf5qaaH1q0mFau7acPfWajZtaDQqENVyZMxEYzAACgGZHXq3CUfP3SdZhCG6BaoFYqHc92Ua2ISvNGQt13lCXPoDWrJinvt5eCWvEfR2j9atgorQAA0Kz4X7dsXf56Bx1OvaBvTaarydbtnhqMyreHjp5+9CeT6C3/NYXW79LvLZMrdHhhleLMZrtM1OXsE30eWx4ruUeXyzwtDvMb1xIN9FPpjCX8BVgu13mi7N32US5DTafPpNKsOZRfsZyovz+axxNkniSaB+vE9jIvlruRDMO+5kbSyZQEZovHLaDc4UOU37HNJdngE2ZjxnbJ93+NHdOt9+9K7ouHsvBYH589xiOHB2jgyCCFJ6ECXCvEbH7DOuqYMYM6p/QGjncaTYzvk3s8ZLd48gE6vrieDu18ig5s30J7twYa/HyHd++g/r27aGDfHuo/sI+WTN1PC6fmqGP2bOpafBqVHvst0e6dvCdd4vvnMYsMLdfiIXdFOZKcx27e8Quoe+pkevM1a2Semw2FQodJI2ycVgAAaDYqvV6pVnq9g9anWqBWKh3PdlGtiErzRkLzwShA3yzpGbRybZZ+mlq3b7U+qI1ajy/61foGjzhVjQoAAJqR8tcr9dErl3lLon5S0W9M/58u+D/RodDvJvNvX23/6A9v/55V3XTeB2bR1+4fJydYZAlaUm6WS6OMlQeSukytU54rI/WmnLtJrk2lQoHyv1tGpXHjqXja2VTK8wdicFMn2DwhPg6QbU45jXLbt1Luqc2c6JRo8+T2QhCEfTdOE/ZZfROq0DOGSjNnU8fGdS6oHTlhNkY/krGzoyP1UN2IJXh8IhLwRXoFOnxogAb6kyfM0sjxOnyIxpx6SuCCebG59t+BwSNxQf7cWTvpwgmrqffgOjq4fQsd3LGFDu3cKleazc1vp8sX7aUL+0rUMWcudZ29hErLf0+07Sne2u0n2q8R7j82YvghRY5xszifOJmKCxbRR/5tEz3y2MGg43rhFkmPPvpxRb++vsJjLc2tAACgGfG9XpnXUVy1X56jX1sf1Eatx7fV+pYbtW7fyL47UcZnzvTcmU+bpZ+m1u1brQ9qo9bji/7Q/Qj2UTcqAABoRspfr+wVK9JkEm2RVPSPvv+cvifpgqCGgk+Srd09xbu9rv2K/sj2+cqyF352ul5dFkRSrqsaLJYHK7vyRxce8UrnqEqiuc2yXIcuD9a7d1F++e+oNHUalc59BpUmTbYJ4TwpJ9QzloonnELFc55GuUMHZFshtn+pYFW+vanLdYIS9mJ5vJ+R4nHzKdffTx1bt7ikfviE2YQJPTRuXDd15PPBw3OPLSgVdwx5sgQ84BNmRTpyZJAGh/j+svy6NdQxcyZ18neV8bYO3afbl4hbOA/qhMkDdNnxO+lvFmyki6dtpufN2kqvXryLLjt5gBb05qhz0SLqOussPUm2ZXO4XXATNeKZ5lqaRf0od9XVSYdPPJ1+ef8++sTn9RgHaUJ1m/IcffQV9HVdW1/hsZZ1tQAAoBnxvV7FX+2sEyW69iv62fqgNmo9vq3Wt9yodftG9mPfUWajpG+mfpp0X0dJ38p9UBvp46ea9LaYRz/pbYmT+O1xUfUAANCM6OtU8vWKfSB8EzhzM0Jvi3n0k94W81n712S4muyGO/VqMt2utv2bt8U8+klvi/l6+79c1UOXfXYa/XJld/TnLD6HMykeW8ZrnmN5vO/m22K5zHG5U9q8gfIP/UauKCue83QqPOPZVDxpMRVnzKLSjJlUnH88FU88lYpnnEOFp/+Rftzi2tWUe+g+okKB9yA75f2zYZE9m0rIuan1ZcCRhGJljsudGlV9Z5d851rHpvqvJvPB3182fnwP9Yzp1McWFN8z378oT5Kcb24plqh/YFCvMHMnzOKPN8cn8vbuobFLzuIzcrypFu/T7Yv3qffhVMbKxO4SnTy1SCcFNa5L53Setpg6TziRSo88RLRlUzAr2o43FHVoLgMtQTO1rs8bxvZTPHkxHRjooL9/7xpOw0Vnurkxb4t59JPeFvPoJ70t5o/lPiOO/yyKxj0AADQh3tcrXlzbjVSjjo6SHv2kt8U8r7VArdjxix9PW8y3cp+TOOm+atLbYr5R/dh3lNko6Zupnybd11HSt3If1Eb6+KkmvS3m0U96WxIEVpK0AgDACLNmzRp663VvpWdf9WxafNFimrNwDl133XWSG97XK17ZWIYa2OudjpIe/aS3xXyW/iuWPCxXlA3Fa777IplvC6Oa9LaYRz/pbTE/nP0NOzvp8s9Op4/dMdF9d1lsCaZo8dgyXvN+YnnYd/NtCXuxPN7fu5s6fvMLyq/4Q7Bl8FZmzjwqLT6TiqecTqV5C4h6pxB1Bo9p88Zg3j2UW/ck5fhfPvh+ZMX7kx3KfmXPphJybmp9GXAkoViZ43KnRjVfmr+AcgMD1CEfBdlY5OMYe7po4sSxlO/gq8v0/vkhaPGKb7rILcj4TSF/JOORw4NUKBR1Z46OFcsp191D45aey9O1ZJ88Ytz+ZcgD2bMQzQt03Djqecb51Dl7NpUevp9ol34nmfRsnmxuqRvrQErGMl+jaMzb8Dgw8+ZTaep0+rv3PElbtw9o7ha3hVtH3hbz6Ce9LebRT3pbzB/LfUZGwcqrAAAwwvB7x8uuvUzeO85YOIOuvvpquvPOO103IP06Zeqw1zfV6PVOR0mPftLbYp7XWqBW7PjFj6ct5lu5z0mcdF816W0x36i+fPSinjlrfk2TdbtWVVAbWY8rNJuGBFYS+01A8wAAMIJcde1VtHDhQrrx+hvpnlvvoeVPLqcta7bQ9ddfT8+86Jn0yCOPyDzv65X+iqCO2boRdHj1mgt+JloJ/rjFLy07t2w7aGvoR26fQG/5Wi+t2xm/0siVW5iwJyZI3Z9P7Zq6+XxzjShXRF0/t3Ed5X91F3Xc+RPK33k7ddz9U8rfeyfl+eTYg7+m/BO/p9JAf7SdqWxvCRPtX2CTCJhYwNuW9Wugi68mm0cdm9YTFZMnpBoJnzAbP66HenqC++OAV/LQPQ8+FpVKRbmy7MiRAflIRjlWhw5Sft2T1DF7NvWcfrqbF+wpdhx5JE6OTzzXpfP442nMHz+b8j09VHrgPqL9+8O+bOnEiKzrCXyfbhjiZvHj4WX8BCr0nUif+o8tdNev92rP5kCh0GFXRkbBStV1zAMAwAhxz5P30JSFU+S943f/+bu0/M7ltL20nW655Ra66KKL6JJLLtGJVV6vKr3eQetTHoHayXp8W1V5FCfrdsOhcqIseQateTVN1u1aVUFtZD2u0GwaYlZ/dTfyAAAwAvDVYgsvXEi3/vOt1PesPvri41+UfxS9cOWFRE8EE75A8qbn0UcfpYMDB3Wj9OuVXHIQs24EHT59+ZKHaEHvLvGV4KvJmCz7gzan/nJVN533gVn0X/eP0z9mwUr/uOnibi6XCTqW7aURqfRlyIEs2o/lMi/e15HcOJc+DyRSb8o531xfkL7mWm5sgY2d1b6EdVGcd7ycIOvYstElwwefLOvp6aSJE8ZQB19d5n7W+M8rP4mopMEgUP75gveKfGUZnzST7zBbv45y27ZS96KFNGbJ2ZTjq/bkWET70f26cuR7xtCYZ5xPXYsXE21cT6UH7yPqPyJzZbH70x2o56HlGvLNZWI1D8rmSQWPaeCUM+mR3x+iD39mE3d5IhQKHUENMat/YCMPAAAjgHwCyaJn0+41u+m6n11HTxafpOsGr9P3jlzXEG3axB//TLRrwL1fqfB6lfX1D5pNeQRqJ+vxbVXlUZys2w2H5vmcWfzMWTP7NOl+u3lQG+njB390Xgkc//ou/3ZNSgEAYCS4/OrLac1da+jC/7iQnrznSbrq5KvozuKd1BcstCCY8AqiwTsGiS4gOjR4iP59xefKXq9U5SYEiYx1DT8cvtrVZHetWRhU8BwG+LaHby3/pq9Ppsv+bapeXRbEOidYZByU+3MYlmzn8lifjYoubGRxuXjWsC83VR5IXxKXy6wo55u2Y/1YLvOs6/KY1b4kISmr82OEfflusnnUOcxXk6XhE2Zjx3ZTd0+n+zGCtQ5EGHcUggGHOpasWKLBQpH6+QqzRx8h2ryJuubPp/EXPIc6FxwfvJvkr7sO5sm+dFv+LrOOOXOoZ+lSGvPc51KuVKTifb+i4qqVRIXgtdr2LfN5k2Dl4LE42aflPJZInU6Qkvmuwd9Pd4S66Oq3ryL+9Ei3J1E3Gx4efpi9YH8u0woAACMAf6wiX0XG7xN/vvPndO1F19Ka0hpakOM3jgEs7wvqGnH0uZU3e1+3jCAJlUfwR+d5BGqn0vFsF8+jOOn+SPrgrVPyzFkz+zTpfrt5UBvp4wd/dF4JnIQuZXUeAACGG36js+zOZXIS7JVXvVKyiwYvkrqleIt4gd/wfCGo44i+t/F/y16v1MtN4ERaLoFvrOfvJqt2NdkH7ro4nJ/eHr41/b2reujym6aJahYsQUPmyp/HWMl2Lpd5Whyq6MJGFpeLZw37cnM5G6cyw+Wm0pchB7JoP5bLPO1rqCMJXdn+jZTV+TGsX5x3nJw0GomrydLI1WXdnTSmJ30lmPz0kmmupW2ZIBGv+M1j4fePUemRh2XumDPPpAl/9jwa+4xnUM/iU2ns055G4y68kMb/+Z9TzxlnUH6wX68ge3QZ5Q4f0l3bnvk+NFB1aC4DHWsqmeQ2lo6bE5R8V92MmfS6d6+hLU/x95LZHFV4ePiR8YL8uXQa9wAAMALwL1kyfV/powunXCjvGfm949WDV0se4k6W7erfRQ/seij5ehV70bLXN1ZpwR+V5xGonUrHs108j+Kk+yPp3XeUKc2uabJu16oKaiPrcYVmU6Ukv0zDv1XDuajzAAAw3NgbHT4Jdn3henmTw1eTeeGTZVcRbTq0ie7f+WDi9UpesXjMqkPoMOrLzn7Ijfzw1WR3B5V1f9DW0fU7O+iym6bSR2+fQOuCMYfSlz+POjM+X3I3ybVdP5a7UPuSCmEuGuSp/Quyf1ZXIS6wLOxb4Aj7wcDtvy74arK58/W7yQoFF4483XKyrMs5xo7PED+fTrABFbZvo8Kv7qHiQw9QacM6ypeK1Nk7mfL9R4g2b6TSsgepeM9dVHricaK9e91Wit5bUNHuUrieED3XEZqE++H15F4qnnAy3XjzFvrpL/aE20Ch0JFXJv33L/MAADDc8Ecu8sct8gmwNU9bIyfHyk6QxXmFyr+v+Hzi9cr+TsnYCNoYBfWR9fi2qqbJut1wqPuOMqXZNU3W7VpVQW1kPa7QbGrwL9PYb/vqOPIAADBcPP+q54dvdPgkGH9kRsWTZMYFKt/nq8rSr1c81hF0GJW/m+yCvic1qABfTcZk2R+0NZVPlL3l65Np/S67gikX/lmUNXseWa5D6Ya5qMttnqQul+mcx/tRLiPLnXUrp7Hc5oSBI9yWNZbXSHF+8CLGV5NtHvmrydJ0dXXQhHF81V9A8DPx8dFjpMdSc60gcbnNYSsp0e5dVFq9ikqPPUqlR5dRacXj8l1mpV27dD88SbbjzdwiXgIpGcs0l2vINzdfrObiJVXlRk8P9Z98Jv3snr3yvWQ2EwqFjo4y9udW/0xHHgAAhhP+Xmv7yEW5Wiwg8QkkPoK5ned30qZDm8WmX78YG0Ebo6A+sh7fVtU0WbcbDnXfUdYaFcfXb6cCteM7jqj6y9DfqtHUfrsm/hs2AADQaPgjF39864/1xJd7o5OJ5zgte71iIzfUMFeWq8m4fNui2qvuWdlN594wnb5235jwz2LYl7HLpDjjnltcX25SmtkMd5OmxtaP5TLJ5TqUrohoLJd5sVxGvHI5r3RCIKpGVS9Xkx1HnRvWjuh3kw1FLp+jceN69GcKSn9m/Vnl0avlxOVaai3loW4jK5dzx1kZ680tkktDsHG4f55s8yTXinLZi+a5HB0+5WzauK1Ar3nXaipyFs5EoVCjUYz+udU/r5yaBwCA4eT5Vz9fBzerZCV/XF4+kYQr/frF2AjVmAK14zuO7VZpfHNGqtx3lLVGxfH126lA7fiOI6r+igicBJaaBwCA4eH1179eB+5LljNzm8rSqUt1kHr94jVq+OoVGa8m822Lat96y9cm0wtvmqpXl4V58sog/e3dWO4WuUkFjgeWu/1wU2Pru9zmWa5Dl8f7Lrd5lsuIV5yr6oBF1ajmS32LKDcwMKJXk5XGjqXipF6tCZOoNG48lcaMoVJXN1FHh8yR7y0b0yU/V7jYjykDvlmuxRn3RGRouZaIzNeIndykZ7k0hHimuZZmUT/KrYKf8eTTaLBrDP3161fSwYNFNwOFQo1mRQROAkuTXQAAaCS33HILLb9zuX6UYviLkxm5W2Xu2Lk6SL1+8RrVuAK14zuO7VZpfHNGqsq+o8yK8elo9tP45lkxrd4HtZE+fj5FP3s/IkjkFpuB3woEAAwT/Nnydb/RcSRfr8xrUkmtGPTLNUv/aL6bzIpBv1xbvc9Xly29YTp9/b6xLuc/lcGIb25iIpeRrrSfyk3lt37FJnNZB8U3awi2F4ebFhsk4Y09cWbGjqPS7LnUsX7oE8hHQ3HqdBpcdBINLD6L+s95Bh155gXUv+TpNHD62VpnnkP9Z58nvf7znklHnv7HOuespZTvW0Sd4/U5kR8zMVDkiIW5ElnuJRsxF+BmybRkRwgyjXkV9XW+jMTH+/Kb3vOOp9KMmfTad62hVeuOJLb2Kfroo68Md19xidysywUAAMPD1Ve77yGr9ZcsA/q39tMl8/4y+XolN33d0rVfrRj0y9XXB/WRPo52bH25aSv106T7Ph2ufp7Pl/EZM1Nex30z9ZP45/Hal7deH9RK8vj5Ff3s/YhgLDedoYYVAAAaS/jZ8swXVDKzNqjX6PDSeX8VrO31im/6mmVrn/Ia/cjX2ucrybJ9N5l/e177cvTbq//mr02WK8yi7y4LbjLRzeCrhURdzj7Rl5vL2TiVGS53qqUiA5FoP1pubIGMecjjWNVJse8Eyh06SB1bt7ikcRRmzKb+JU+jgVNOp8KsuVTo6KDCnj1UWL2KBn/3Wxp44H4afDCoR5ZR4fe/o8ITy6VX3LiBilu3En8I5OD8Pso989mUnzNHf0z5efkWHSd7nmwsQ1YZS8g3KRsHA6lwnvQD5RZ3XM4N0XC+RJKZam7zAqZMo+LCE+hfPr2JfvqLvbalqI7KFX300Y/88PUNTfXmxlIAANB4zrnoHB3we0f+frJaeLrK0mlLk69XctPXLVv7lNfoRz5LH9RD+XFk5bUvb8V+mnTfp8PVz/NZcj2L1vwax9dvJwW1k+W4QrMrE2b827vxRX/NFwAAGsrlV1+ugztUaqH7b7pFP//0z8ZfrcLXLyZ8TYM2XP/pgv8L1pVZu3uK+26y5HbQY0/5O8su/UwvrdshH2whVw5pnwdupEPdwjRY3E2a+ncR01huarkGsX4w4pvlYd/lYnnAI+5LEpJ0bloMs6VJk6k0bTp1rl3tksZQmHMc9S89nwZPPIWKg4M0+OijdOT2H1P/vffSwCMP0+DKFVTctIlKO3dSkeupp6iwcSMV1q6l4qqVVPj9Y1R4NJj3q1/S4AP3ER3YTx2nLHYPXB+9Ho1gzDb2A+rrqQyktBOoWhm7CbFcAsFGsh/JrRSdLyPntR/OHzOW+k8+nb5/x2765M1buCMzoVBoM6iiPlj4z21sAQCARsPfa73szmX6vdb8aSS1wB+5+AjRogkL6a/m/kXs1SpY3OsXk3ydgx6tgtrxHcd20zTV5g+n5u0MWqRW6dx09PpxfH1Vq3Ru2hp9UDvx41d+XE3Rz9pndF1ZAQCgUbz3ve+lR+9dTjQrMLV+5OJtRP3391NXvoue5r6fzPd6xePy1z1T9OvtZ7ma7P13PTec71erdG6Kfjv1N+zspPNumE4f/fEEWr+rw+VBh68c4kWHuoUMNHc3acavNpJIVjYvlmsjykVjuQxiucQ8cLlODEk6Ny2G2dKikyi/dw/ld+1wydFR6uySj1Ic7DuBCrv30MD991P/r35FhS2b5DGGxY+AH4QJq+ShCcZu3p7dVHjiCaLOTqKxY8Lc9sVTdL4NLdfSnDON2OnNLZJLQ5DtTSXX0nlRRXmsgsd45JSzaMXaAXrLNWtthtNwiwqKPvrol+emjeorlRQAABrNX774Ch28TKUWJv7tRNGLZ+n3JzO+1y0el7/umaJfax/UTvz4JdUqnZu2Tj9Nuu/X4emHV5TpuTNea0W+efpJyvvqbWar90GtJI9fteOLfrV+tK6sAADQKD784Q9Tsf8w0VOBmRkUf5RiFmIfuTihe8KQr1c6rv76h35t/SxXk9227Nxwfnp79VroH1v9j/54HL35qxNp3c68JnpTdQOdGctFeRDLDfsNYA5dI5rlcsbZ2EAJ+8HA7b8eSjNnUWnCROpcs9IlR0dpzFgaOHspFcdNoP4HH6CBhx+i4k4+AcePk2+xnzsGW4kSP4vMdHnwppAf6+7dRIcPuzxYhxOUyHIvakS5Ec4KKtlh9De0ZeRKKT/cUV+uJAsonnoGHSh20cvftIoOHi6E+7GZSR/dD/rooz9SfcXGaQUAgEZy6f93NR3YsV3GudfniF4tw0zMfu1s2rd+n4z5irKhXrd0XO31D/2sfVAP0fFLHk+tduinSfd1XHn7RvbdFWV27szOoDWnT1Leby8PamXo4wlfqwcAgJHiaX98kejxV15LY2b2Ee0J/oJyRhfRn0o8JL2v6RV93vOeF/ylRj/KrRL6ylb+egdfv39O5qvJdKm2P/hjz9+7spvO++fp9F/3jWWrVxS5q4hsprtFuZXM0FxGYT9spPoq4i2znAm3ZbWwRjo6qNh3onwvWe7AfhceBZ2dNLD4TCoWitT/63uptH17+PhkYXWljz2UWK6lOWcumj2H8vPmUWn572M5r9x+bBtWzjXkWywPBm4Dne/62hBse6toPvesLzNdbvO0Vzx5MR0e10svfu0q2ri5n2fIInPdGh4efrQ9AACMDPyRi9/7+i00+fQL5f1jabBE9KWgkeWXLe8m2nLrFlq6VD+FpBr+1zv4ej2oh+j4xY9kO/k01eYPp3dXlNliZ9BsaS4fxxLr6dI+HtTO0RxvXeCTTtHf5A2SlAIAQCPgNzoP/PJOeaOz4Mrr6Mzrfi5veIr9A/JGJj8tT/RNNzlN0N9912668MILadYs/sxGpvz1SlVfuQIXU1vg464W/7KzHwrc0OjVZPGlcfevC3zctap/01cn0mWf1u8u4z+z4Z9fXoIhOx5IHvZjOY/Cvgylm+y73OZJ6nKb5/o6YFE1qvni8QuJOvLUsa4x3002cOKp8rGL/Q/eT6UDB8PHyRUuPJaMe6HoHDdXxpLzOHgzOGESdZx2mnxvWfHA/jCP/zyyXx1oieN96ogHEoc5z3dNyRXJZSL3rKHbqo0yzW2+Hs/SzNl01VtX02+X68/P9xEt8HEHDx93I+sj7M97WgEAoBFc8bKrRRcE7xn5/ePTbnoy8y9b2i9Zvva1rxXV1ybP65V7yeJXN13iY17g4y6rB7UTP37R0l4+zdHu72i85zvKmlfj+PrtpKB2shxXaHY17Dd/7Td9TQEAoBFcdJFeTXbyG74oym9y7A0Pnzwr7i9S7pWd/jc8LvviF3VbJf56FX/90leuwEEbpH29u+gVS4Y+Ufaa7744nA+FVlO9umyaXF0W/vnlJRiy44HkpjLD5TwK+zKUbpiLutzmScoqrSi3kkjVGNKPHUelucdR57onKTcw4ML64Y9vLE6ZRoPL/0B04GBwZ+5h8SqocOGxFPf4xovOk8fnSoQ7PT3Ucc458pGLxbVrZI7O42m6rZTbRlaSa8dZzXhsi3gJpGSOTHO5C3WKU5kjK5mjuVZp1hwqHd9Hb3nfWrrz3r3ak9lQKLT5NML+vNufb1MAADha/u7d19H2jWvkFyv5vSLD7x/Tv2xJ04JK/bIlf+Ti7jW76dprr01dURZ/vdLXL3vJUscLtBEKasd3HNtN01SbP5wafkdZK2gcX7+dFNROluMKza4G/0aNLEFkyiMAADha7CMX+SSZ/BZgDPZnXa9veEqFQXnDkxsf/NXlHdrvfZ7+NiCfJOvri7ZNvl7J2r1u6SuXJtBG6D9d8LNgNDS3LTsnnA+FZtU3fXUCvekrE9x3l0lDlfvuD7SunUrmcmsIbo/xTMa8Skx08Fxfno3iyYvl4xY7tmxyydFRmD6TSocPU2HjRg3Chx0OVJ21JD5K/Dw8zOepY8m5VBoYoMKjy4KsqHlqmljeNsz1uRGiCbySTtgNJwXDcMwDM8HMYBibFqBOczeeOp2KJ51Kn/qPLfRf39shqd0LFAptRlVkHPxhliUwcQUAgKOBP4nkcx+9PvzFyjjpX7ak/cF7x/gvW7qPXOT3jdddl9w2+Xolazau53JoQxTUju84tpumqTZ/ODX8jrJWWOLE83ZcQO3Ejx+Wo18M/oUa8XqLrwAAoG7iH7k466KrXFqOveGxz5/Pf24M0dOjj1y86qrkttHrVbA45Zv2XI6lIUu2q8mwYKlv4avKLv90L927siv4gxsk7jd8Vd0fa86dSrmhdjWTGc5q5jQc85DHlllYG6XjjpcrwLpW/MElR09pzFgq7d2rj1Memj4+W/gmXmPpc2SBtqM+f39ax5JzKDdmDBUffphyxaL0dWIobhsOtDSP7cdy6TmVhkx03lQ2kIoyVjc5tr3mOSpNnESDp5xO3719F33oU5t5BhYsWJp+UeRPNf9Z5pHenMoIAADq5vXvuV7UPonER6Vftpx09STpJz+JRIler4LFXq/cS5ZkWBq2gNqJH792XcI/cI54b8SXbvoAnzBrevL5HB0q/INzRPNmfpK2bzvoXHsx5dx5dN5NL3QOZOWO8z/tRqARFHIfpwtnLqGPLPmQS/ilQl+81h1YR5ffcwV9/vOfp9e85jWSAQDAmjVr5ARYFt74tnfRgd3bac7z/o4mnvQMlw7NwY3Lafs9X6XD29eL//nPfy4ny5hXvOIV9MNv/ZB+8pwfBi56vVJKdPHPnk97B/qok17sMnA08EmyL1z6bef89Fz/ATcC4Oh49/MP0kuefoSOn1aQ3/iVkylBzn/KE8q59FN5sGg/8K6vRPsRwn6YpOZH+zW4TxMnUHHJ06hz3Wrq2KivT42g/+zzaGDrNio8vlyD+B0H8M/lBqEkf55k0sknyaZMpcKD91Fp374g5Z+/lPh5mXCraEfhOpkrFfcT2PTxljVL4oEq8vyNGUeDZ51Lv370ML3wVStcBwDQ7BTo3qD+l350wQ9o5pgZLo3+oL/pwbfSnpl76XeP/U48AADU8t7xv779P/TjH3yXJp36LJp98atdOjQD+7ZT4fB+WvcNPcHGH7loV5M9+OCDdN5559GHzn4/PW82X3aW/IvJf67+Iv3bin+nbromcGM1BEcN/1s3/5s3yM6qm39Dq2++z7n25MqXnkZf+tplMr7r52vpec/9ioxHg1wPfZBfDQTP+5UEo9nnE2UHC+91jui4mTeWnShr5sfPZO3zi8bSmy6XDGTnjvM/0xTPXyVarT+Y+xhdOCt2oiw2QU6U/QInygAAynXveivdeuuttGbbbpcMH5N6e2jv7iP0iU98gt761re6NHai7AI+UZYieP26+Gd/TvvkRNkVLoxo9OtnmnbsP/6Wj9KC3l3OlfP+uy6m9995sYyb8fHHQb81+vOnFuhTf7OfnnVS7Lu/5EwMq9oIF7Ak+qmJYT+V10K+g4pLn065/n7q+t3DLmwMR572LBpctZIKa9eKT/8Y4cMXF5D6OUIXvI/qOP1Mys2YSYWHHiDas0fz5HQ5URU/s8Xr5OHRJH7iMU40P9mIcrEBmsiJsejuiLq6qf+spbR+G9HzXvoE7TtQ0O206wV99NGvzEj2C/RLGuQTZRfGTpTFJsiJshk4UQYA0BNkt7zjKrr+O3e5ZPiYNnsSHdm/n6ZOPY7Wur9PMYkTZXPKvwz7P1fdQv+24rPUQ+8LXPmJspF8ffXRqn3+t26cKKsNPkmWPlHWrM+vUWv/CjlRdqmM9UTZV0ft8bnvKOOFiRz7uGuOfkR92yd93DVbH9RDdPyO9vij75CJwUpuquYBAIC5+rLn0/Ufu5FofC/9/NPX0R/efxV98WyqWq+ar9tf9cqJ9MX/mJmprn3fFDlJxtx447/Km6wy+CXKXqfir1/achVftBP3cYd+ef/lSx4c8iQZo99NpvMbff9xh/6x0+fvK7vs05Ppoz8aG4w7pMN/xm2WiaJ7CjNnYwMl7AcDrjoonnxq8E4rT52PN/gff/PBz9jZKd9RFn/c8vM6q0kcDpMpu45TT6PcrNlU+O0jVNozxC80JLYNj6zuRIwm2nFdJ0w0jPUDjU1xaKJ357odHVQ842za399BL3rtStp7YNBmxZakQx999JM+7kajL8jEYCU3VfMAALDmwXto4cKFdOtDa+mTH7hO3j9+8/l93veL6WL6+jq97xMr1ZmnDND+/UVat25d2XeTKfr6VPn9o45UbYk65uMO/cp9UDu1HF9dWq/PPkmyH3e+7ePuaPuJK8qamSxXlLULuKKsPn56/mfcCDSCoa4o23JoC/3FXZfSjTfeSG9+85s1BAAcc9zy/vfS1e/7MN3y4evole++VsOn1hC9eqGOh+CW9URXP0L085/OpQsvyP5xFmvWDtItt+6l62/YJV/G/OSTT0p+5ZVX0i9/eA99/9n/Iz5B8Po11BVloDZ+8sqb6Tl9q50r50vLltJrvvsi5wBoPHxVGV9dNn9a0SWG+4tK2a8IpoLQlk2siWLfIiodt0CuJMvv2+vSxlCc3EsDp51N/b+4m+jQIQ3TPx5fisX/oOMuyeK1/HUtmkD5E06kfN9CKv7hMSpt3uRyJZofbiDENnfozPRHPRrRtGRDbOzvjzZITROKZ55DR8ZOor94+RP0u+Xu5wUAtAzVrih758PvobXj1tGq1as0AAAcc/AvOfJJMv7ofP4I/ZCvXU/0Vd9JrCS5H5C8b+T3j7XA7x8v+pONwf0Phh+/eM8999Czn/1s+vg5H6ELZ13gZkZUu6IM1AeuKKsd3xVl7Ub6irI/e+5XZTwaxK4oa/4lTjxvxwXUTvz4YTn6RQ9qMLLixY2ndE+R9qZNyX9wAQAcW/BJsr5xpCfJfnsn0asWZjpJdjT0Leik6/7fVLm6jN9sXXTRRZLz69HUrqnRa1a83KuaFpajWY7v3TnkSTLmtkfsajIsWIZnuWdFJ/12zQAdPDRAhUJR/nAHf9QDtM+G/+yHufmwn8qtJFI1KvnSrDl6kmz57xp+kowpTp1Bpf37qXTwoHvU/BiDRnD/IjLUMWeWc8dZys+fryfJVq2g4qaNOl+aMs3N57kul1D3w2uZKpNkpZnkWobO57mWa/FQ53MviMLc5mlePO0sGpwwmV76+lX02+XRz4sFC5ZWWhT78y3FixtP7Z5KmzdvdrMAAMci/EkkzNfe+Ur95cpPXk30V7lMJ8mOBn7/+POfzqO+vjHydQH8vWj2b1n82pR43bJyr2o6wtKoBdRO/Pi168I/ZZx4b6SXvP5mIK9bQSP8/fZRUA/lxxF6NBphv/lraU9HN82fcBw99thjLgEAHGvc8qmPiV57UrDiNzn/eBHRVs9HIQ4TfLLswgt6w49ffOx3j1HfuAVlr1dlXkbp1ztoVn3fBbHf/vRw95pFUpW2h0Iboc/o66dnLDxChw4N0IED/VQs8fddBS2bExhVGarXQZTLdJdbSaRq+Hxp5mwqnnQqda56nPK7drhOYylMnU7Fbdvk/qzkQfOYRYacaxblmnXMnUv5k0+l4vq1VApeJzXXchPVh/sJQ77xbFWOdZbM0VzLUG+qc3V+vCczXW7zgjfCJy+m4pRp9Np3r6FfPbBf+zYPCoW2kCqhuoH5vgkL6NDhQ7RixQqXAACONe58ZDldNZ9o9neuJ7oxeP/4f7e4zvDDJ8u+ePNUee/IJ8p+9zv9yOzjxx9f9nplXvG93kHrV1Ar/uPYfpqkvD9Smo/OkbeCRmSb37oK6iH78YVm0YiSCyxnf8bE0+meX9zjEgDAscat//kfovxmZyTf5MS54Dk5ebPz+c9/nnbv2U1n9J7ufb0SVXGa9XUQmlb+frKh+NIj5wbr7PuDQuvRD16+U0bMwGCRdu0+JFeXFYtFnaUTFRnzKhaGw2BgLxIZkZNkJy+mzvVrqGPrFpc2luL0mURdXVTcsD54hPwYgzD2MEPLjz3MdcDr3LQZlF8cvB4+tYWKTzweZLqEE4xg+2irWCMYxqeFfbklOwLvJ4yT/eThZRMFxeMXUmnWbHrvB9bT//50l+tEjwkKhbaa8sipG5g/fdJponfffbcoAODY4pZb9P3iBVODFf9yJX8ayQjT19cletddd8lHL54waRFN7ppU9nqV/ruLWmhjFNRKtuPa+pok+3aN1ny282nNoXGyzG9lBbXjO47Q+jVBOgj8+dPPl3+Y/tGPfuRCAMCxBP9G4IXTnBkl7LvNvvKVr4ieP+0Z3tcrk6iSr3fQbPqKJQ8H66H50rJzw/lQ6HDomy7aS/N6B4NRkMmVSaqHDw/SgQMDVOKvLdMNdCW/FuxKMh7GctFs8MctFk9eTB2b1lPHhrUubTwDxy/Sj0o8fEh+tujhu2MRZFb8+LUtEyg/bSp1LDmHStu3UfGx30oezuedyybqZVtW6fBYIrEyDnObz7mmjOYyiOWaSW5j6bg52qDS7LlUOr6PbvzCFrrtm9tljpsFhUJbVBOkgrOmnEnTx06n733vey4BABxL8MkpZjTfP/JVZX19U2nVqlXyHWnnTz1fG+kXsJhPv85Bj05B7WQ5rq2uPIqT7o+kyhVlfN6sFTROlvmtrKB2fMcRWr8a4uQW6wa3i2dfRGM6x4S/GQQAOLa48GlLaM0hZ0YJ/mJm5rHfPkZPm7qU5o2b5329cqNYmYfWotdc8H/BujK3LTs3MR8KbbQ+re8IveGC6PvA9HskZCQ1MFig3XsOykcyFgpuK5ng9qK3YMUDGbl+RNKF06g0fYZ83GLHU5upc+3Q39N3NBTmHEfU00ODq1bqg4k9PvdTaBaUdlS5cuMnUsdZ51Bp9y4qPLpMfjbpugksjB43C8NUhqENsD1H85VwC8llJKW5ZlFuHcsDnRYcyxNPoa/+9w760Gc2WRcKhba4Ks7JLdYNbn8682I5UYaPXwTg2GPBggWio/7+cc1OmjFjhoz/dPZzw9en9OuV4RJogxTUTpbj2urKozjp/kiqXFGm58xaQSOyzW9dBfWQ/fhCs6iSTHmtfkx+DL3ouMvpG9/4Bt13332SAQCOIbrH0JqDwZuNoEaLW780RnTHrh30wvmXh69P6dcrUyaZQLPqK5Y8RAt6d4mrxPvvurhsOyi0kfrGi/ayuCuTTLmrpUO+umyA9u8/TIODxbAve9GbzNHJLKpG0um00uReKp5yOuV3bKPO1U+4TuMpjRlLg8f3UXH9eqLDR/TBBA9ARIY6lgcV5sHCduwY6jh3KZUOHaLisoddruUmamb74VxCl/GiVnPxkqpqQ1BvqnN1frwnM11uFdjgWBaCY3nH3XvoXf+8Tvs8FQqFtoEyPI6nkX/hcZeJ/uu//qsoAODY4cILLxS9c3i+2jUTt9y2T/SJx5+gZ0x7Op0x+Yzw9Sn9ehWRnAE9WgW1ku24tr4myb5do9V9RxmfNWsNNbLOb1UF9ZH1+EKzq55Z9y8v6/tr6unoofe97326AQDgmOGVr36d6PWj9EvBd951iO68cx31dPfQkilL6E9mXxx7dSpf9BUtJ2sGWpu+7OyH3MjPbcuW0trdUzLvDwqtVd940R56et9h9XxVkjXDWZzzSsfFYon27TtMBw4ckbEQ3ybawZCUJkyk4ulnUX7Pbupa8QeXDgP5PA2ccjqVjvTT4IrkyTh+pPJoE485emWjjk7qPPc86RcefoBKhUHXDYhtYq+GGlojtp8Ql8gt2WEqHX+Zn5jORudKjRtPhdPOpgcePUh/+/YnqcAfk+lmQaHQVlf9J6YS6XdF+pa+CX30ovmX07//+78Hf4cb+e8nAgCMHn19faK3bhi9X7S0X7Lcf2A/vXzh38RenfyLUf31D1qLgtrIelxbXdNk3a7R6r6jTIuJ+3QxvtyK8eVWjC+3Yny5VZxKfV9uxfhyK8aXWzG+3Irx5VaML7di4mNQO/HjmS7Gl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxSd9DBwYPOK8Ja9zP6JlBbzzp9fSTn/yEPvCBD0gGADg24N8KvPBZ59Mt64muG74LLLzwRy5e9CebZHyk/wi94aS/K3t9SvtDhYPBqNtlyWJ8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRVfSXZB39AfNfflR87xbsvF+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMcf1DtIbL9wbXpVkVygpllmumeY5GhgoyNVl/f2DNkn7OnFourupePrZlDtwgLoe/13wDsreQjWewYUnUam7hwYfeoCowI+Vb7zwQ9WfxR6/ZLyw7chTxzlLibq6qfDwg5TrH4jmMzxHFt7Uci3Z3pSjMHfzJJeGoLlpUJq6TCaopvbDGV/xNnj6Elr+ZD+97A2raHDA/lndZvuL8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsVEvlv8wUH++xZ7ncEa938f/J1t+thp9KY3vIkOHhzFjyUAAIwofKLsi1/8opwku+jXI3+y7KI/2SG/ZMnw1a18RVn69Snu+bVMsx6XJYvx5VaML7difLkV48utGF9uxfhyK8aXWzG+3Irx5VZMpRzURqXj6MutGF9uxfhyK8aXWzG+3Irx5VZM2qeJ99PF+HIrxpdbMb6cy31HmZ0503PmUSW9JpEf+X6Ev19t+9bpg3rIfny10I97TSJfKk2iTYe26G8Ac+I07V96/EvoT2f/CV1zzTV066238o4AAMcA8mbny1+Tk2XXP0G08GfZT5jxG6Pt/W68djD8rrFq8LzrbhikhSeudQnRG09+PS3pPVtejyq9Xu04vIP6i3yHk7mlPVEtTSKPftJX+26yu9YsDGpRbJva9q9J5NFHP+55/cHLduoo+EPNf67jXVb5s+5yTbWveYkKxRIdONhP+/cdpqJcxhRuIP04cV9cfCbligXqWv5bvkTNpY1n8ISTqTBzNg0ue5iKBw7Iw5OHKAuP2ViomebBm7nTz6Lc5MlUWPYQlQ7sDyKe47ZxePfDGVvJXYW5lmAaoLmMpLTj9hPmppYHq65uOrJ4CW3fU6IrXruC9uwvuBk618ZaSa9J5NFHP+41iTz6o9fnv2Mxmw5v1j/7nDqN+0ldk+g9p7yLfvf739Ff//VfyzYAgGODq666iq699lo9WXZfJ139SPaPYoyfWMv63pG57p930sKTttCdd+2mfD5Pp0w+md512ju8r09xv/nQFurITQpG+aBcT1RLk8ijn60Paid+/Kw0iXyr920dUdv2jey77yjTs2a8bm4fkW1+63pQD407/vBcs2j9wXV0oHAgCivoP591LZ0zZYn8xedzn/ucawAA2h07WcZ/9vnNC58wy/2gevFJtXe5TzC7+lVb5cRXrmtV1eJ51//zWpo0aZJse8XxL6JXLnxFsFOxFfXx/XoGL0czXdTY18t29/z9ZEPx5UeWDrk9PPzR+MvPOUjPWHhExnaFknZ4HIjTcCyigYpmXIVCkfbuO0RHDg+SfRqj7i/CfPH4hVQaP4G6lv+OcoPZ/0GmJvjjFhefSYWpM2jg17+i4q6d+njlcUeP3QJxrK7fcdrplJ85k4qPLCPasyfIuMdN3YaFiXKtcHGRDvhmuZbbmFtaYa7FQ+6KciQ5j3We5J2dVDxzCR0qdtElV6+i7TsLblY4G14UHl7Xrerzwd+xmMf38l8GZVhRL5x1Ab391LfQd7/7XbrssstwZRkAxxDXXXednCzrO++P5ZNJLvpV8NLgeb+YLn7/yPDH72d978h1/Q27aM2aA/Jx/dPHTKMbzriOOnOdwU51f5V0+b4nqFSaJWONGvd6eax7UBvVjme7+CSN339m300fdG8Tm5t8PkeHCu91jmjezBtp+7b2/AvVlHPn0Xk3Xe4cyMod53/GjUAjKNIfaJC+RB9Z8iG6aNaFwV8SSvKPHpX0wMABes8j/0i/2XEfvfnNb5Yvae7o6HB7AwC0O2vWrJHvm6h2Zal9Pv3+/ftp2bJlNHv2bDrxxBMl430MxaFDh6QeffRResmCK+gdp7xtyNcl0xsf/zR9ec1XqZuuCfYyTncGMsEnyb5w6bec89Nz/QfdCIDG839v20zzevVEVfDH2REOhCg3OHCvA87F4fmdnR00dlyPvMcoY8wYKiw9nzrXrKKOLRtd2GA6Oql/8ZlU6u6mgQceoBJfSaYPO3zA4SNLDXidn3885U85lYorHqfiOr3KNnyLF85Xos15FN1BygZowMfNRxQn++XT3X6CvwcWz1hCB7sm0F++cgU99vghbQMA2pJC7hO0dGoffWbpjfI6Uu3vZ19d83X6xOM30hmnn0Gf+bfP0AUXXOD2BAA4FuD3ftdff33V94D2/pHfOzJLliwRZapt29XVRXfccQfNnzCf/uWsD9BJE06s+vrEV8ZedveLqIP+JKjnuj2BRsD/1s3/5g2ys+rm+2h1UO3MlS89jb70tUtlfNfP19LznvtVGY8GuR76YPAywG9nghcEfkMTjJvRd+TzdLDwnmCkHDfzU7Rtm35/UiP230y+FyfK6oJPlDXi+MObL9Bg7p/pebMvohvOui5Is/GRP3ycvrnuW7SobxH94zX/SK961atcBwAA6mP37t1044030g033ECFQoHecepb6aULXuK61bkkeKPz1KGx1EmvqvB6B1/J3/HKm+k5Q3w/2ZeWLaVXf/dFFbeHhz8a/6HLd9ELl+wPGpxERDbaUlwgkYvgf/jwwXFnVyeNG6ffrWMUTzmNaNx46n70QZc0lsKsOTR43AIqDQzQIJ8k6z8iefgo0z+vUxvkpkyjjnOXUmnjBiou/0NsgpJ1Pzrg4+2C5HQ9bvxOMb2f0PIgefzjFE87i0pTp9GlV62g3zy8X+6nkf99wMPDN5cfpP8N3kHeQz+44H9o1hi9EqMaP3/qLvrw4x+lHYd20Otf/3p6+9vfHv4CFQAA1Mv3v/99+vCHP0y//OUv6Tkzn03/dPp7aWr3VNcdmtue/DJ9+ol/o256Q+DmeV/v4OvzS3GirGb4JBmfLGvE8W9Wf8VLF8dOlK2j5z33K4l+o+9vKC/fUcZwqKo0qzcatb9m9aA+sh5f+Cw+HwyW0I83306bDvJnzQdphnrXqW+nj53zYere1UWvfvWr6bh5x9E73/lO+S2evXv36h0AAEAVNm3aRN/85jfp6quvppkzZsrHdPzxtD+irz7zNnrJ8Vd6X398dcfmn9LmQ5uCVzT9zcMgdarAD+2HOknG3HCX/pZl1v3Bw6sqQ/mn9x2hy5fwd25xEKy5hGCWszxfY17xWBvqIsLXBLcYPH2gf5D27DlIhw8PaMY1dRp1bN8qvpEUJ0+h/rPPo8EFJ9Dg+vU08KtfU/HIYXenoQQrfbwa6iPWPKgxY6njzLOotGsnFZb/Poh4DvdkhiBWBrH9BBXl8YF2bD86X9FjJgMtIchCq2NWHWsxxZMXy3F8xZtXy0kyxu3NreHh4VWVdvB5OlvG31n/P+HrQbW6cOZz6Ovnf5leeNxl9NnPfpZOOukk+TjG//zP/6SVK1fK/gAAoBr9/f30q1/9Sn6x8uwzz6ZLLrmEnnj4CXrv4nfRx5Z8mKZ0TfG+Bvnqvzd8L3g9Oz7Yq57QCVKnCvzReVAb0XE0TR7PdvER2eYPlx/iirK0jm6//IqyG2nbtoOxec39+Gvp44qy+kheUVb5+KKfvU+0mfrp0/Si+S+k95z2zti8bMr/QP39Tf9Lv97+G9kbM3vmbJo6bSo+lhEA4IXf5GzdupV27d4lvrujm/5k1nPp0nmX0DlTl5S9zlTTV/zqb2nFvm3UWXpH4LK//qFP9PlLv02vWFL5iprbli2l1373xRW3r7Z/9NEfqn/r1dvku8kSuAllVzS5IIwNyXn/qY6zURoFE8b3EJ2zlHKFgnw/2dFSnDiZilOnUbF3KpXGjafCxo1UXLmCSkeCn63sYXGQ/HnseAidndTx9PMpl8/R4H2/odzgQGJCOD91aVfoEgM9LjpfwpBoWrLBlt84RjEPgv2k5hUXnUSlucfRm69ZR9/4/g43y2bHdfT++0IfffSHp88f3d+RX0Xfe863aVrPtNi86rpq/2r6nw3fpTu2/p9cYcaMD14358yZQ2PHjhUPAABxSsUS7dmzh9ZvXO8SotN7T6MXzPlzuuL4F4vP8vpj+o1136KP/uHj1ElXUgctCdLsr3/oV+/jirLaqX5FWVpbr39F4qMX01eUVd++oX18R1nzge8oqw98R9nwMEjfpSL9hj619BN0/rRnuLQ2dvXvpod3PUxP7FtBmw5tor0D+6hYKrouAABEdOY7aUp3L80fdxwtnrSYzpu6lDpy9Z1Yv+XJ2+imFf8evNF5EeVpqUtBVp54y0dpQa+esPTxmu++mG5bdq5zADSON120l95w4R49ISPvWHgQISdsWNUG6ET5bgnn4kTzk52y/UhQoq7Zs6n7nHMod+ggdWzbQrmDB4PxAcr197uJfkpd3UTd3VTqGUPFKdOoMHW6nNxiitu30+Djy6l0QD+CUGCJPYDocTh1A7Md55xLud4pVLj/N7H9BDvgxx0j2tz1U/tJDviNogvCXIk2TzZSNkAnyvGfv4CKCxbRdR/bSP/+pcZflQcAaG5KtJ4G6LP0grnPp+vOeJ9La+fR3b+lx/Y8RmsOrKMd/TuovzD06y8A4NiE/+4xvnM8zR4zi06YcAItmXIWzRtb34mYLYefopf88mV0uDCTuug1LgWNBN9RVjv4jrKRJddDH+KLS+UNUjNr5e8oy7Z9K2nvuXNxoqwO9Iqy7McZmlUPUyH3aZrR00P/ef7naXrPNHfEAQCgefnV9t/QWx58G+XpdOqkv0m9rkGr6SuWPERfuPRb7mj66bn+g2XbQaFHq3N7B+hnb9/i/itzuBMz0fkZHfEJm8SJLke2E2bByAVl+wkGuTFjqGfxaZSfMYMofhX84IBcbUaDg0SFoDq79ARZV5eboJT27KHint1U3LWLv2hRryAz3B2xRI9HBnGJTchRftEiyi88gYqPPEylHdulbUTzw5EQ38+GA920ct940UKxRHPHHKITJx2mRb3Bz+CQK8OSl4wJKRugQTovzZ5LxRNPoRtvfoo+9OlNwazqzzcUCm0/HaTbqUB30jsWv41ecvwV7hUCAACam7c8+PbgPeSvqZv+PnDHJV7XoI3RpTddhhNlNRJdUZb9OLea+r+jLPv2jdQ8r5hWUSPr/FZVUB9Zjy+0Fu2hXOky2nJ4M/3Dsn+i/QP7uSGf3VyuwRbe3BR99H25Kfro+3LT7P1Hd/02eL26hjpy06mTLou9nkGz6rMXPClaCf7YRSbr/qDQrPqhy3fKn2X58yx5UCauLIj+7LNIQwhzmxPO16F2ZKLLOdRM8+B26DAdfughOnj77XT4nnuo//e/p4GVK2lgzRrqX7+B+jdvof6t26h/7Toa+P1j1H/ffXTk3l/SkZ//jA7f/mM68utf0eAf/kDFLVvke8j0PnXhmwkT5VraDhY3Jzdlip4kW72Situ3yeMNf143RyrMtXi940gHfX/TbPre9hNo+cA82tc9nQ50TaXlh2fQdzfMoP/83QTasFfPeMn2pvH9BGJWNMytiIrTZshJsq98Z4ecJNNZMhkKhR5j2kHPozydQh//wyfoR5t+LK8T3PZrsAX6ntwUffR9uSn6jepf/9v3y0myDrokeCU7Lnw9gzZeQW3YUct6fFtVI7LNHy7Nh78R6LT5vdK4/TWnB/WS7fjC1+Y76CTqpCvokd2P0hseeDOtObg2nCMqN/a8jnunoUcf/bh3Gnr00Y97p6HP1r972y/ojQ++lY4U85QvvTRIJshcmShrVfih/VDfTcZ86RH9yMVG3R88PPPCcw7K95LxlU1ydZPkPA7WUjqOcivtud1EuZvjJphorhNd7oojybUsL+3bR4W1a2lw5YqgVlIhUKlVq4J8DRX4ZNiunUTBPOrv511K6YBvbnH744zLSSzX0pyzQHu6qePMs6kU7L/05JMu1xJ4jkos1yqUcvTD7QtoS8c8GjNpCvVMnkJjJgY6cTL1TJhE3eMm0F6aRN9aMZF2H7bto/3wwvvRTO5ANcy1aMpUKp5yOt1x91561w3rXF9miMLD6xpeOTZ8F/11MFpA1/72n+mb674lsc0RDT2v495p6NFHP+6dhh599OPeaeir948UjtA/PHoN/e+mH1IHXRzU+a7HxLZxI13DK/V5UBvRUfMfz/bxRtb5w+M7gheC62TU5PB7sGuu/WPniD7+0V/TwYMDzrUXY+dMorl/sdg5kJV2/8zW0SZHc4KaSduO/IK+t/H7NLW7l06ZdIrrAgDA6PPZFZ+jj/zh41SiaZQvvUxet0Dt8McuXnLq750rZ+3uKfTO2//COQAax/+8fov8Lp+cfNERxyF6kiYGB8G08tyEB7H9JCXA9d0Oolzhx8G/XRi+gXLT41aIbZ941IlBaj9OkvOjeZLnc9SxZCnlOjup8NADlCsWgzzop37gcD9ue9vj/bum0eaOeXJSbFLveJowcSz1jOkmyndS0c3hL8EvFAp08NAAnTytwL9cXbaflA2R4zNxMg2efjb9+uGD9PI3rQr25ZoAgGOcjmA5K3jp2Ey/3P4D2nhoE50x+XQa2znW9QEAYHS5d/uv6F3L/oGW7VoWvF79eVAXuQ4YLvjfuvnfvEF2dj60kXYF1c6cfsYMeuGLT5Xx2jW76Uu3/lbGo0Hw9ovf8fC6FTTC328fBfVQfhyhjVV+s9NJf08Dhdn0wd9/mF53/9/Tz576efgPNjovUHhVeFV4VXjVBvsjxSP0jXXfpEvufhHd8uRtwevUudRR+nvKy0kynsXzoLXoy85+KBhX5v13XZyYD4U2Qm+7elswDEbuz7jkwVDL5dLTsRQ7W0nbcl34xj1pi7VcS0USKTdJMxvrKhyH24RzZIaUzBFjuVvEqsocWXSe7UPG0pYJEuX7FlGut5eKjz5CuYFBl7ttea6NWcOcxxLRo0eOo+7xE2jmrEk0e04vzZ7dSzNmTqKp0ybQuAnjqHPMWOrs6aGOrh56bGcP7T8S7YfXth92PJDHKrlWKdh34fSzadnvD9PfvGE1f32bbQmFQqGB9lAXXSX/+PzDTT+iy35xBX1+5c209fBW93qiM0XhVeFV4VXhVRvsH9r1MP3DI/9Eb3vonbTp0P7gdeoVwevUBa7Pa+jwKagVPWrp49huGifL/GHUbvog/35g05PP5+hQ4b3OEc2beSNt33bQufaCv9jwvJsudw5k5Y7zP+NGYCQo0L3BvcxBcQAA7gVJREFUa8g9VCjtpqnd0+jZM/6Izuo9k/om9NG07qnUlU9+qT0AADSCw4XD8g8sK/evood3LaO7tvLr0CDlaX5QFwR1mpsJ6uXItf/oRn5OvvFdclUZAI3i6X1H6Lar+R9OXSBvVCKi3OCg/MoqF5fvJykRMjF2pZcRztd+egfhbN5eL8FSK+uAcKCE+y/LHakBr3MTJlDH+X9ExZUrqLhWvzOw+n54pI93/cEx9JODZ9LUWdNp3vypNG3aROrszNOBA0do164DtGP7PtoV1JF9u6l//x7RP5u/l86WC3F1j+HeUvcnnbFjafDMpfTE+gJdevUTtGcvLiUDAFSmROuD9493UpH+IP4Z055OS6eeS6dMPJnmjJ1N4zvHSw4AAI2kUCrQ7v49tO7gOnpsz+/pl9t+HYz5q0Q6g/eNf0wd9NxgVqdOBsMO/1s3/5s3yM6qm+9r+09Qu/Klp9GXvnapjO/6+Vp63nO/KuPRINdNH+L3P+EboUqMdr8jn6ODhfc4xyfKPpU4Udbsj7+Wvp4ou8w5kJU7zv83NyqnmZ5fH63cL9LDQf026K8Mqj0/DhUA0Jx05CYGL04nB69RZwdvdE5yaZJmfv1kmq3P3032hUu/5Vw5ty1bSq/57ouda77Hnwb91uj/7O2baV7voGRMdGLGZmhQdsLGtbOdMIuC1OwwqHzCzODRUPvRfuKEVvTwo/mpxxvlpnnqePozZFi87zfBmncSUXE/bN39PbprIt1fPI1mzptJCxfNpPnHT6OOjhzt2L6ftm7dS1uf2kPbA+UTZFJ7d9N5U/fQc08MHn10B0FFP0CY9/RQ/5lLafseootfuoK274yeuzi2dSXQRx/9yrRrv0QbgveOjwQTllOhtN2lAAzNhX1uENDX6wYxblnmBgBUIUeLqINOD9478vctj9EwRbO+fhqt3Od/68aJstrQE2X3O9fczy9TT//Kly6OnShbN+SJsmF/fLiirPnAFWX1gSvKRp8SbQxqR1AHAoffLAYANJ4c8dWqEwOdIQUay09eeTNd0LfauXL4JNlty/iNJQCN4U0X7aE3XrTXOX7rEpE6D6RB8M6lPDfhAb+1CYO4BLi+20GUO8L54cC3u2Cgo1Q7NUidMHOSnJ9MLM8vWiQfu1i479dUOrA/yF0n3FCRE4SpK9pkb8Fg88Fu+sG+M2jqnFm0iE+U9U2jzs4O2rFtX3iibOc2PlG2i/r37ZETZX+1aB+dNisf3U04UPj+Sp3dVFxyLu050kkXXfkEbdrS77oAAFAbJdod1NZgtCdQfi3hVzAAyhm89oduVM5da6bRxbfqL5cAUA7/vWZcUFOCmht4fPLRaIIrymoHV5SNLLke+hC/vZL3Qc2s6SvKjpv5Kdq27WDm7VtJe3FFWV3wFWVZji8UCoVCoVC/Hrn2H4J1ZU658d20Zje/0cy2Pyh0KH3GQv3IRcOd7wlwAzcxyh1hO9WIbabwKNpBarbLj+ajF4OStiaJPEaUJxvp+XJ/48dTxzOeScXVq6jkPnLRGOrEmBIm4j679lQaO3UGzZ03jabPnETd3R108EB/+NGLh/bqFWVyoizQdz1rgLo6eEu3/0Bid0fU2UnFs86l/aUx9IKXr6AnVh0O7w0KhUKh0OHSof5+eteaRfRnt74m036gUOjo6lJcUVYzfJJs1c33Zzq+rapXeK4oy7LdcGi+JMLrVtAIf799FNRD+XGEQqFQKBSaTfljF4eCP3ZxzW7+vJvkdlBovfqGC/cEwmMmSIOhWjdHDOda2nEraVtu83nImYjLNZNchpIokvNNF4lYeRjmmmqg5ZxGopa7LTjkTHrOypiNOdsPZxqVgndo+TPOlKvI5HvJJOeVIj+vDqS0E6hal2vG9fTx6+nwnl20ccMOWr3qqaC20ob1O+RqsoN791H/wf00cOggDRw+SOfNOkKdebcft314bAMt5fJUPP1sOtwxll70mpX0+KpD3NE+FAqFQqHDqNWotB0UCm02BbWiRy19HNtN42SZP3wavB3ic2atUnF8/XYqUDu+44hCoVAoFCpLXXPB/wVamV+sXRis/duiULXWmy7aK1eUyeVKEuV0yOMgkMUFrDKWDkecq2ous4OxNEXDseQaaMRj2SQcu1lh5qZb6gznTnVzl7FozxZpunlqbcxGnSyuxzeu/IKFlBs/gYqP/VYizWWGG+o2uqHlmkW5y4LlvBkHaGr/Zjq0cyvt3PwUbdsY6FPb6dCuHdS/bzcN7N9LAwf30UQ6QBedmI/2wzvhPQRGKt9BpTPOpoGxE+n/+/vVtOyxQ+EcFAqFQqGGv6rh2waFQjVfgfrwHct2qji+/shVPlgH8FmzVtA0WbdrVQW1kfW4QqFQKBQKTeuC3l2ilYi+myzb/qDQSjqvd5DeeNEe5wO4ZW1Bg/AqqRRypVMYR30ZxafbFVHqIjROdSSIS7iW/QTlXAzO+aZLmiiJ93SmJPF4zBjKLzqBiqtXEu0/kOiF83ntzY1wVlA6ftHCHbS4Yx0d3L6FDgR1cMdTdGjXNjq8ezsd3ruLFk/YQ684pyRXk0W4PQTCo+JpZ1Bh4mS6+m1P0r0P7JMZ2oFCoVAodPh17e4pbjwU2fcHhUJHS0F9ZD2+rappsm7XeHVvifh3DlWVZvUR2ea3rgf1UPl4wqsq8PCqCjy8qgJ/rPosH7s41PYKPLyqUtn/ywt3qucgqIpXMkkuDSHKtWS6249aHVsQzpVZlrNYrgvfuCdtsZZrVdwPL5LrwreYhD2dLyPxzrpcs46TTyU6fIhK69ZKZrlO420sdJltzgOXhI9FcmnICbCLFxym1566hZ7du4mOz22m+fmt9KzpO+l15xykS07P08Qxuk1iP65Kp5xOxd5p9Pr3rqWf3r3XzWGCvlMFHl5VgYdXVeDhVZXa/VD09e4qmw+vqsDDqyqj7UGtDH0828WnqTZ/+Hx4RZmeO4vOoDWnj8g2v3U9qIfKxxNeVYGHV1Xg4VUV+GPVP3vBkzKqhH7sYuPuT4E/Fv3l5+ynp/cdUc9BUE7cmnMtSwzLbdEmZ9xzYxENeKzzuWM533SRiJWHkbg1B1pR7tSzHxfEJVi5fmI/PA4nqPb2Um7GTCouX06lYpEbgts6GPA8GbGRTHOLNbFj42wI5+O7iJbOLdALTx2kF59epGcuIJoyNhftVojtJ6jiyadSKXhc77phPX339l1ul7aB3JOoAg+vqsDDqyrw8KpK7b4a1baHV1Xg4VWVkfagVoY+nu3i01SbP3w+vKKsNTRN1u1aVUFtZD2uUCgUCoVC41rtirK71iwK1tn3B4VW0jddtE+HcsWSSGB1scCuZmJkrZPCPFy4KZlO4Um8WKBtp24sbbfYmG825mG4vanbnlcaac8Wvsk8Ub5J6rJ4aU+aNs7nqePU06i0YzuVdu3QedoOt9ENNZet1GrGY1vESyAlY5nmcg355jKxmse25yqdeDKVZs6mf/zQBvryt3e4OQwUCoVCoaOh1ci6HygUOnoK6iPr8W1VTZN1u8Zr4tPoozNoRrP5NI3ef7N5UBuNPv7wSeCTwCeBTwKfBD5Jc/ksH7uY/G6Ixt4//LHjX3jOAfl+MolcrOICEdeIw5mL7ff+GBklprNJBAkX31Y6yakBLpD7S84Okc10CQMn0fxoZPuRJBYz3MnPm0c0bhwVH3/cpTpN5wfrcJvoHmMTeCWdsBtOCoa8vY5cKe7Hi6F9zUtUXLCQSnOOow//22b6z69v0ykhiQ0D4JPAJ4FPAp8EPgl8krSvRqPvDz4JfBL4JLV6UBuNPv7N5tM0ev/ZfXiiTM+d2Rk0I/LN0U9T6/at1ge1UevxRd9AP1pHoG+gH60j0DfQj9YRrdXP9rGLcWrbP/roG795soc+c+ekxJVMsoRXMnEezZexyyzX+ZxFY5kkY22o45Ubs8pYFxfyTcZRrhXNl7bL+Wa5LnyT+TbFjZ1xeaBqXc43t3R2Uf6EE6m0YT3R4YMutW3cRjzmjBcXhbn0nEpDJjpvKhtIaRZVlFsFdu5xVJrfRzfdupU++fmn3Jw4kdcR+knQN9CP1hHoG+hH6wj0DX+/GtW2R99AP1pHoG8Mdx/UQ/bj25r9NLVu37h+xe8oS2tz9NOk++XbmbZmH9RG+XE11RH6CvppRV9VQT+t6Ksq6Ke1HfoX9K1WW4G71tiJMv/2vtwUfVUF/Y27O+k7D42jT/9skruiiVfBvMBIsdOGIGO56eJS2VZblvJac16p07EK93S2dN0EncM3y7U4d4mU5pZFC99i4u7D5utYZqp1ucuCJb/oBPHFVatieaC8rW7ARrOgnHVO58giuTQE3V4GLrf5EpmN5a5mz6XiCSfLRy3+879u1Clu7VP0VRX004q+qoJ+WtFXVdBPq79fjWrbo2+KvqqCflqHtw/qI+vxbdV+mvLtTHU0fH18R1lTK6iNrMcVCoVCoVAo63P6VtOC3l3Ol8PfTbZ291Tnsu8XCq2kG3d30ad/Ppk+c+fkIOIsdkUTO840juW68C0I+KalqTOWaxblLpNcF76pBItpsKiRkSbSs/3oHM21pBlJLNfSnDONdOCyseMpd9x8Kq5eSVQc1Ny2YZWxhLqZNJzqLJ0T9mW2YDk3RMP5EulKxpYHOnM2FU88hb75g530rhvWu20YKBQKhUJHV9ckPgK8Etn3B4VCR0tBfWQ9vq2qabJu13hNfUcZAAAAAAA4Vugb4iQZk/xuMgAaB19V9pmg7Df77Pf4hDDgXqzj8rBtPQkSiSNwckvtJ8RSXls/SsIo1pctIpuCe8lGJZc/6SSigweptHGDSwL4qi4dSIWz1cZwAd9i9xeOOAvzqC+I1UynBPczfQYVTz6Nvnv7bnrL+9ZFmwIAAABNzlC/8AUAAADUAk6UAQAAAAAco1T7frIvPXKuGwHQeD7FJ8t+Pll+h09+jy92pVN4tZMEOkFzS3ksoWba4Jtkkrs5UjJ2+5FF58mIGzLWXhRZrovmwShQtZLKHJunKm0dc2SLm5ObOJFyM2ZSaeUTPEtzmRibw4tGunL7kbWbJxmPJXVjybVYuGMRj8NtrD9tBhVOOZ1uv2sP/f1711KxyPMAAAAAAAAA4NgicaKs2i8Pjna/Gs3++I+2D4am2Z8/9IcG/aFBf2jQHxr0h+ZY7r9iyYNu5OfuNYua+vEz6A9Ns/dv/NkkubpMkCuh+KaLC3UnYe4yHrsrp1zbrVgt10XzYMQqVlKZo4GWc7riSFY6W8eWKy6VOba9pm6O5JrI4vaVO+FEKu3fR8Ud23mW5jw36Nl+uJw1F6y1w1n6SjJxvK3kWjZF58vIeZ1XmjKVCqeeQT+/dx+96u1rqFB0G8QoT5KgPzToDw36Q4P+0KA/NO3er0azP370hwb9oWn1Pjg6mv35beV+4kSZ/KLhEIx2vxrN/viPtg+GptmfP/SHBv2hQX9o0B8a9IfmWO1XO0l227Klos36+A30h6YV+nxl2Xu/MzW60skt0uQRD8VK6gznrmSW5SyW68I37klbrOVa4XzpxfbDS6wvzUhiuZbmnGmkA5dJnqP85F7KTZtOpZUrxOs07elkHouY1YHbXovzQLnFHZfxKtyPzJcoqjAPtHcqFRafRb984AC98i1P0mDB/5aRtxgK9IcG/aFBf2jQHxr0h6bd+9Vo9seP/tCgPzSt3gdHR7M/v63cx0cvAgAAAAAcg1T7TodfrF3oRgAMP99+aBy959tTqBT/HT83ZNFhPEgkjsDJTZcEzqrw2gKdKc5FsUEwCsbhBCW0/Bjc4zA0jw8Uezy5RSdQae8eKu3cEYSWhhsoKRsGfIvdXziSx+HG0UCIPzwdBvc5aTINnnYW3ffIQfqbN66igYHkNgAAAAAAAABwrJGPzqO1ihpZ57eqgvrIenyhUCgUCj229fjJu93Yz11rFgXr7PuDQo9Wv/3QeLroY3PUBhVePeUWuzRKJVjptCjnxVTGOiEaay5Gxiza07JcF7lJFttPuI2WztcpMtYJbsw9HrMNRpMmU27qNKLVq8TbHJnAMzXSldwsd/P4xmPbIsy1WLhjUTTmbVw/eAyF05fQst8fppf+3Wo6coRPkslkKBQKhUKbVKuRdT9QKHT0FdRG1uPa6pom63aN1bz8VqEMm1+TZN+uNRXUSrbjCoVCoVAolLXaRy+u2T0lWGffHxTaCF2/q4Mu/OhsHkqqV0TxigMt5wTRMNdFCUZuYpiGgZZzuuJIVjpbx5zzKuqLi22f3A/nMpCS7wHjsVrKnXiSXE1W3LlDejrfNXlmaHkgSbQfaYh1aVBhrqVTVG0sa57Hy/iJcpLst08coRe/diUdOlywGVAoFAqFNrFWI+t+oFDo6CuojazHtdU1Itv84VG5okzPmTW/Jsm+XWsqqJVsxxUKhUKhUOiC3qGvJuPvJ8uyHyh0OHTDrk668GOzaWOgdmWU9PTyKOd0JWPOJNfFhXxzcySVTHNX2tYVt3iRXBe+yXyVcBtnXB6oWpfzzS3Sc9nUqZTrnRJ9N5nkWuHiojC3nhsLbo6W5VpRpn3NNaOJk6hwxhJa/uQAvfjVq+jgwaL03QwoFAqFQptYq5F1P1AodPQV1EbW49rqGpFt/vCoXFGmtIoaWee3qoL6yHp8oVAoFAo9dvWCvlWilVi3p9eNsu0PCm20btjVQX9z83Q5aaa5/bZfDBdwJ+oGqtPDJD7iS61cu4zkfiLC+XqZliO2n8RAO+F+nOROOJFKu3ZSaTd/N2AQhvuK7YeRgUvkFnZCeNPoocT6iZxRw1eSDZ6+hJavGaTLX7WC9u4flDzaFgqFQqHQZtZqZN0PFAodfQW1kfW4trqmybpdY9V9R5kV0+zeqNRvFw/qo9LxhFfg4eHh4ZVj2z97wZOilVi7e2qwrrw9PPxIeD5JxifLNu7mK8v0t/xkhlwyxRJkkuvCN+5JW6zlWtp2Gt+PLdLTTEWc5jJXS9ucaRTlbuGxNGQi5adOl+8nK61e6XI3n0Xmi43lbnux0hA0Nw1KU5fJBFXp6By7kuxxOUm2knbvKYR9LQYeHh4eXoFvTl+N9Hx4BR6+2TyonaGOZzv5NOn+yHj3HWV81sx+X7F5fZLyfnt5UCtDH094eHh4eHh48xf0rZa0EnetWZiYX21/8PDD5fk7y/76C9NFtcOrYC23YJFLqFwlRdayH3cJVpQ74vvRAYeqYW7zLNRM8+TAFr7pfEdfn15JtmePy918N9XZcBB99xhbpwGay0hKO24/YW4a5LEryS571QravWcw2sbmwMPDw8PDN72vRno+PDx8c3pQO0Mdz3byEdnmD49331GmZ830HFrz+iTl/fbyoFaGPp7w8PDw8PDw5hf08se/VYavKBtqe3j4kfRyZdkXZtAGvrKMU7lySufIVVOuWHiCdmSi9KP50tYVz+MNJNeFb+I1lj5HFuicqK8DvrlFeppxT2TiJPluMlq3VjLN3aLW5XyzXEvgMYsMLdfiIXdFOZKcx4FOmCBXkq3eoFeS7dmT/k4yHsHDw8PDwze/X7s7+P/okCTnw8PDN6sHtTPU8WwnH5Ft/vB49x1lyTNozeqTNH7/zeVBrSSPX6OfD3h4eHh4+Pbwx1c5SXbbsqXBuvL28PCj4TfsytNff34a/Xp1j6TWkXluuiXhSHKdGfUCXODpuNylepmWI7rH2AReSUe6Ya7wMLegj+jgQSpt36ahzoymyUCd5mEnRPPkiJErydxYcbPGjafB08+hVRsG6ZKr+eMW+TvJdFs3Ax4eHh4evoV8NRp9f/Dw8MPjQe008vg3s4/w90fGJ76jzM6kNatPUn1+a3tQK7UdX3h4eHh4+GPTX9g39PeTrdvDv7VbeXt4+NHyfGXZu781hX6zeozmEgcjHop1812gIomUm6SZlQQ6QSTWd8a1OdMoyt3CY8lsP7wEOnYc5WbOpNK6NTrfeqw8gWdJbsVWGkI801xLs6gf5YFOmECDZ5xDqzcW6dKrV9HOXcnvJOMFHh4eHh6+tXw1qm0PDw/fHB7UzlDHs518RLb5w+NT31HW3JqkvN9eCmrFfxyhUCgUCoXG9fjenYFWZs3u3mBdvh0U2gy6flee3vXNyfTJn05gG5Tr8EpmBQO51Mpy21KMDHRWNOZbTHQbtw8uzXmsUZS7hcfSkIkuDd5qzT+eaGCASk9tloZs5ubEB9H9BTfbT4DmMtAS3H7Eur7th68kO+NcWr2xQJdcvYJ27Aru23pQKBQKhbasViM9HwqFNqeC2vEdx3bUCH9/ZDT1HWXNrUnK++2loFb8xxEKhUKhUGhcF0zeHWhl7l5zQrAu3w4KbRblK8u+/eB4uvH/JgaR67iVODZhHmgY8YpvNi/K1ErqttEKVq4tE9jqyvVlCcduPzzu6qLc3HlUWr+OqMhvvniObioTeewGtr1kPLYpkstASsYyX6NoHKwmTKTCWUtpxbpBuuSq6EoyXqBQKBQKbW2tRno+FAptTgW14zuO7agR/v7IaD4YuTNnpnoGLfLN00/jn8drX956fVAb6ePnV/TRRz/y6KOPfqTHTv+CvtWildAryipv71f00R/ZPl9Z9q0HxtGNfGWZIZdXad8Q52LbNkEiiu6lwmyH9vUWzQpHwePIzZuvww3rRQW3maHbBlWWm3U9IZgdm6O4WXyS7Mxz6Ym1A3TJVSto5+5Bnq09UV7HfVrRRx/9yKOPPvqRNk+/GtW2Rx/9ckV/5PugHsqPIyuvfXnr9o1K/aQOT19OlOmZM1M9gxb55umn8c/jtS9vvT6ojfTx8yv66KMfefTRRz/SY6c/FGt3TwnnVdoeffTLdXT6G3Z10CfvmEQ3/tRdWeYutdIteMUZi/ZskaYTVUmDQaCxebKtm8PFmazdPMlkvgyjvKODcvPnE23cQFQoBBn3ZIJM5C1ksfnS4zanTjnXkG8uE6t5UDJnci8VzjiHHlvVT5dctZL27C3yBO7GlNdxjz766EeKPvroR755+9Wotj366Jcr+iPfB/VQfhxZee3LW7dvVOondXj6se8oq3RGrXl8mnS/3TyojfTxg4eHh4eHhy/3C3p3ifq4a82isvnw8M3uP3HHBPpkUJKUbIaOeaCzLdfMhLGezk/O01wr7PAcnstIriXbBpWbPZuos4uK69dKh6fqdFlxIovcbD8Bsl8dxHIeS6ROJ0iVJk6iwulL6JHlR+iyq/kkWYFT7YnqCB4eHh4evtV9NdLz4eHhm9GDeqh8PNvJR/j7I+Nj31FW6Yxa8/g06X67eVAb6eMHDw8PDw8Pn/RDnSQz4vPh4VvFf/KOiXRjUIkrr2Sgc2SRXDMuTTXTXEvbMkGiMJeeUxm7/YRjl8/vo9LWpyjXf8TNd7uQWW6OBqoOzWWgY00lk9zGwVKaPEWuJHvkD4fpRa9ZRfsPxK8k43W4NTw8PDw8fMv7aqTnw8PDN6MH9VD5eLaTj/D3R8a77yhTkmfS4qqMdj9Nrdu3Wh/URq3HF330VRX00fergj76flVaqV/tRNm6PVNi85Xy/aKvqqDfPH2+soxLIoltlpsX5obbOn7JVhqdoCW3aF44im2bmzaNaNw4Kq1ba5uE6LYujDdCXE+I35OhSXHqVCqddQ7d9+gheuFrVtKBg8VwdqRKeY6+qoI++n5V0Effrwr6I9uvRrXt0UdfVUF/dPugNmo9vq3aNyr1bdZw9t13lCnJM2lxVUa7n6bW7VutD2qj1uOLPvqqCvro+1VBH32/Kq3U76tyoiz5HWVK+X7RV1XQb64+X1n2zm/0BgEnusiNPU8RK6nOcaVjaetKxpbbHLaSakkuAyke0rz5RHt2U+7APs24ZYt4CaRkzEPLNeSbmy9Wc/GBTptBxcVn0S/v308ved1qOnhQ39jx/KQq5Tn6qgr66PtVQR99vyroj2y/GtW2Rx99VQX90e2D2qj1+LZq36jUt1nD2c/zW6v4GbRm9mnS/XbzoDbSxw8eHh4eHh6+3FcjPR8evtX8Nx4YS+/4r0kyllwniKhKGgzYmAvW0tM5XFGupdZSHuo2suJxzxjKTZtOpY0bNOdZcnOLTJOGYONw/zzZ5kmuZXlxxiwqLj6T7rhnH73k71bR4SN6JZl2ZSI8PDw8PHxb+mqk58PDwzejB/VQ+Xi2j4/j64+Uz/PZsvgZtGb2adL9dvOgNtLHDx4eHh4eHr7cD8Uad0XZUNvDw7eC/9YD4+hZH5qpTieosAYruTrLVbi4SAd8s1yLM+6JyNByrfz8+UT9/UTbnpJIZknL9qFjI55prqVZ1OesNGsulU45jf7n9t101VuepMFBzmW2bQUPDw8PD9+2vhrp+fDw8M3oQT1UPp7t4+P4+iPlU99R1tyaJut2raqgNrIeVygUCoVCj2WtRtb9QKHNrht2dtAzPzhDgwDOpB9dqsUmlscHinTDXIks91wjH7ytmjOPSps2RJnNkmmWxQgyjXkV68t8N+D1vOOodPKp9OVv76C/e+9aKhaj2VAoFAqFHgtajaz7gUKho6+gNrIe11ZXI+v84dDUd5Q1t6bJul2rKqiNrMcVCoVCodBjVRdU+Y4yJst+oNBW0Y27OuiPPjiDNgQaXrnliufIbxC6SAcu00EQqdpYhqwylpBvlJs1i6izk4hPlLkNwnmxbRnLuSEazpfI5Sw5Ki1YRKVFJ9HH/v0peuc/80k43oNuAYVCoVDosaLVyLofKBQ6+gpqI+txbXU1ss4fDnXfUabY2FeML7difLkV48utGF9u5SPdj/t0Mb7civHlVowvt2J8uRXjy62YtAe1ET9+6WJ8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J82VCk58Z9uhhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWDOv6nR105WenBpoPgmhGOC8x0E50JZlmjHyXmA6ktBNoMMjNnicfuUhH+iWzPH4lmY3S30lm6HwZiS8uOolKx/fRNR/ZSB/97JZwthWTzuLF+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRWT9kMRn2vz01m8GF9uxfhyK8aXWzG+3Irx5VaML7difLkV48utGF9uxfhyK8aXWzG+3Irx5VaML7difLkV48utGF9uxfhyK8aXWzG+3Irx5VaML7difLkV48utGF9uxfhyK8aXWzG+3ArUTvr4xX26GF9uxfhyK8aXWzG+3Irx5VZMpdzw9a0YX27F+HIrxpdbue8oU2zsK8aXWzG+3Irx5VaML7fyke7HfboYX27F+HIrxpdbMb7civHlVkzag9qIH790Mb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMels7e4pZXXXmkVSPI7PZeI+XYwvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxsb8MYwv+exU2rCrM/BuCRoyz02Kci3OeJJrx3ItzYNl/Dii3l4qbd4kEyXjRabxLEW2N5VcS+dFRbk8lU49g4pzjqM3v2893fyV7W5mshhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FZP2QxGfa/PTWbwYX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7cCtRO+vjFfboYX27F+HIrxpdbMb7civHlVkyl3PD1rRhfbsX4civGl4fVTf8iv7jIppm1I5+jQ4V3ByNl3sxP07ZtBzNv30rae+48etpNlwYjUAs/Of+mTMcXCoVCodCRUprYRaWgaFKgYzoyb3fM6/5Bor0DlN/XT6VDhezbQaFV9LipBfrm63eJshcSg1KwdkGYK3ISS3aUbORPPIloxiwq/foel7j9pOYZUZzsS57PU+m0s2hg4hS6+m1r6Cd373V7s71CoVAoFHps6c2XfpNeseTBYOSn5/p/ybQfKBQ6urr0pktp6rnzghHIyqqb75fKcnxbVa946WL68tcuCUZEd/18Hf3pc7+Wabth0W76cKBDTmkKzQdvGg8V3hWMlXkzP0Pbtx0IRtm2byWdcu5cOg8nymrmjvNvCtbZjzMUCoVCoY3W0oIJVDxlMhVPnUylWWM1BkfHQJHyaw9Q7vHdlF++l3I7Dgfh0M8DFDqUzp9apG/8/U5R9pVPjAUB/0ph6oSXWNmd5rlnPYdKG9ZTbt2T0d3EyHbCLNiws4uKZ5xNhzrH00v+7km6b9lBza0PhUKhUOgxqF+49Fv0iiUPBGM/Pdd/OFhn3x8UCh0dPe+mS2gKTpTVBJ8kWx1UluPbqnrlS0+lL8VOlD3vuV+TPOv2jdQ8f7o+21bQJOX9dlJQO1mOKxQKhUKhDdeJXTT4/Hk08J4zaeB1p1DhwtlUmo2TZA2jK0/FEydS4S/m08A7TqeBNyymwh/NiI4/FFqjrtuZpytumkL3ruzi0OUycN8dpqS/k0wm8Ey2lk+dFvw3Guxny0Y33zVlgpL4TjJRxu1HbLDq6aHikqW0pziWnv/ylfSbZQd4BnegUCgUCj2mlUdDkZ4PhUKbV0HtZDmura5xsswfLg2/o4x/kzIaN6dPUn1+K3tQO/HjV+34wsPDw8PDH7XvyFHx4rk08O4zqfjsWVSa3B2kYLgpzRtHhb+cT4NvPZ1KS6ZFz4fUEM8XPHzM83eWvePrk+lXq7rlii+56otvPLb5kstAyjrOajZrFtHuXZQ70h9Y7nFTdyBzZJrLXahTnHI8bgINnP002rQrTxe/ZCUtX3HY7YIX2QoeHh4eHv6Y9bauRLXt4eHhm8eD2okfv2rHt1V9HF9/pHxez5oxdgbNKuk1ifxo9JPUvn3cN3sf1E78+FU7vuijH/eaRB599ONek8ijjz5r4ZxpNPCuM6lw8RyiDv4rFRhpSjPH0OCVfTTw2lOoOHdc4vmx0iTy6KMf9+t35ultX59EH//xeA0c1tdLvnjA6LaCTeA/+tNnUGnL5qgbTgqGZRswwcxgGLrJvVQ4eyk9vHyALrhiJa3f3B+bnXy87OJek8ijj37caxJ59NGPe00ijz76ca9J5Ee7b+tKVNseffTjXpPIoz/SfVAryeNX7fi2Zj+Or2+lSeQb3c/bmTM9hxY/k5bUZugnKe/HfVpbrQ9qx3dcTXWEfjo3Rd+fm6Lvz03R9+em6Ptz01bsF/90LhWu6KPSpC6ZAUaXUt8EGnzdKVQ6Y0riear0/KGPvimP+Mqyb94/lv71J+NdLyi56isYudKcM43CfPqMQPOU2741sNyQiTLWKayygVSUsQb/7U6fRcUzzqHbf3GAXvjqVbRvf9Fmiuoo8mlF35+bou/PTdH356bo+3NT9P25Kfr+3LTW/oLeXZJWwuaZprdPK/r+3BR9f26Kvj83rd4HtZI8fsnjmdZW7cfx9U11NHx9fEdZkyqonSzHFQqFQqHQujWfo8GX9FHhojlBApqKrjwN/vUiKjxnVvR8QaEZlb+z7L/uG0Mfv328eL7kK/xOMTdHc2k5F9S0GUQ7thMNFqwh6HeSySi5n0BsWml+H5UWn063fmsnXfW2J+lIP98PLzITCoVCoVCo02qk50Oh0OZVUDtZjmura5ws84dLwyvKWkGTlPfbSUHtZDmuUCgUCoXWq4WrTqTi2VMDB5qVwp/Po+Lz5iWeNyg0i/KVZR//8QT619vHB0GQcFk3EC7NdT6vadp0oh3bZCi9QJj4lWRl+wnefZUWn0GF4xfSP3xoI733AxuCd2bhDCgUCoVCoSmtRno+FAptXgW1k+W4trrGyTJ/2LSL/oVPmDU9+eBN5eHCu50jmjfz07Rt20Hn2osp586jp910qXMgKz85/yY3AgAAABpL4UULqLh0unMZOdBBtHos0b5A93aqgup0Bn81nVggmjRINDmoU2r/+17Hd9ZS/oHtzgFQG+/88wP0jqD4LROj64BwEDBxEuXOfRrRPXcRFYP/XmPIOTKBB/xWy+2nq5OKp59NB7sm0N+8cQ3d+8B+yQEAAABQmTte+Xm6oG+1c+V0X/8vbgQAaGbOu+lSmnruPOdAFlbdfL9UO3PlSxfTl792iYzv+vk6+tPnfk3Go0Gumz7cMifKDhXe5RyfKPsMbW/bE2Vz5cUD1MYd53/WjQAAAIDGUbhoNhX+dK5zGbh3MtEfxgd/qx3rAnBU9BSJTg3+zrdkX00nzTpvXkH51cE2ANSBnCx7Pp8sY/SEl/6eobMLFgZ/aZ9KtOxBS4M8HAli7TzZuPE0sPhs2rY3R5e/eg09uf4ITwEAAABAFX7yys8NeaKs5/oPuxEAoJnhf+vmf/MG2eGTZKtvfsC59oRPlH3pa38lYz5R9rznfl3Go0FHnv7kOjduaviN5jXXPss5on/96G/owMEB59qLMXMm0by/ONU5kJV2P8MOAABg5Cku7qXC5Qucq8KyCURfn0X08ESiXV0uBEdNIfhL4FPdRI8Ex3VTD9FUd6VZFUonTKT8g/z9UUWXAJCde1fqn+FnnjiQPv8l5PhE2Z7dRLt3uSSi7Iqy6TOpcMYSuvP+Q3T5q1fTU9vb8z0MAAAAMBy8YsmD1Ndb/v9b44a7/sSNAADNzNy/OIXGzpnkHMjCroc20c6HNjrXnpx+xnR64YtPkfHaNXvotlt/K+PRwH1HmS78Zi6+NJ+P04j9xV0zeVAfdvx0gY87ePi4g4ePO/ihfPHiOYHPwH/PIPrGLKKt3S4AwwJfqffZeUS/qf4GqzS5m4oX8fMXPZ+8wMcd/FCev7Ps4/ydZcFY8pzr8JmwicF/g+4kmX4nmanOtfm06EQqLj6TPvLZrfQ3b1hD+w/olWm2yLzYAh938PBxBw8fd/DHkq9Gej4v8HEHDx93o+tBPUTHj5d29Eni3fr2F19q8fkS2cJErjl9mnS/XTyoDzt+dgzh4eHh4eHr94WnT6fS3HGSVORQnug/5xLdj9+MG1G+O4PoR9OcqUzh2bOoNL3bPaO8MJGDh6/mP/ajcfSWr06QXG/BqmcMUWcn0X73HWOlINWNA9ygu5sOnXYu7eudRy989Sr6xBeech3bNy/w8PDw8PDw1Xw1jnb/8PDwI+dBPUTH72iPf7P6JOX9kfKxK8oaef6Nl8b7NPFuI/Yfd6PrQT1Ex48X+LiDh487ePi4g6/sixfODlwVvjmLaCW+i2xU+EUv0Z1TnKlM8cI54XPayP8+dIGPu3b13/jNWHrRZ4L/1oJArhrr6Qn+wypSrjAYeJ4UZFzBUCZNm0YD55xPv1nRQc+85An61QMHZD+2v2iBjzt4+LiDh487+GPbV+No9w8PH3fww+tB7cSP39Ee/2b1caIeLyPrE1eURWPfMvr9JPEeL6P/+OKufKmlD+ohOn6+Bf24K1/Qj7vyBf24K1/Qj7vyBf24K1+as1945gwq9Vb5GMUfTCdaXuWKMzC8/GQq0aN8tU9liudOo+L0ntizG1+a87+/aEE/7sqXkev/ckUnnXednpgt5fPBf1gFKoVXkrmZY8dS6bQzqf+kM+majz9FV7xuNW3dMeD24Fuy379/QT/uyhf04658QT/uyhf04658QT/uyhf04658qa1fjfhcXUb28ZUv6Mdd+YJ+3JUv7d0HtRM/fqP9/A1XP048L1+Gt5+4omzoc2rN0I9Tz/Zx38x9UB92/HSp//jrgn7SoR/36KOfdOjHfXv0S4t7pVORVWOJ7p3sDBhV+CMYk3+3LoOfz/jzGy1M3KOPftLF/YadfLJsKuX6+4k6uyg3bpxcScbj0omnUOlpz6Sv/7KTnv4Xj9Mt/7Uj2CK5PS9Hc/+8oJ906Mc9+ugnHfpxj34r96uhc6L5te6fF/STDv24R7+RfVAP0fE72uPfrP0k8W627ePuaPr56Ewao9q8Pk263y4e1Eel4wkPDw8PD1+DH9dBxRMn8qgyGT7yD4wQezqrPh/FUyZFz69TePh6/PqdeVr67h7q37mXDp1yDvWf/XQq/dFz6KdPTKALX/wEveX/raNNW+0qsvLt4eHh4eHh4Wvz1ai2PTw8fPN4UA+Vj2e7+CTl/ZHy+ei8WfNrmnS/fRTUQ/lxhEKhUCi0di2dWuVqssfH6RVloHm4awr/zbYipUUTiSZ0J55nKLRe3bCzgy577Tr6+V076L2f3E3Pvvxxetlb1tHyFYcT86BQKBQKhR69VqPa9lAotHkU1I7vOLabxvH1R0oTV5Q1u6ZJ99tHQT2UH0coFAqFQmvXqleT8Yky0Fz0B3+1XT7eGT/FEyYknmco9Gj0wRUFuuqaHfTl7+ygJ1YfCXMoFAqFQqGN1WpU2x4KhTaPgtrxHcd20zi+/kipXFGm58xaQdNk3a7VFNRH1uMLhUKhUGhlLU3rEVeRKidkwChR7QRm8Lxmef6hUCgUCoVCoc2j1ai2PRQKbR4F9ZD9+LaqJsm+XaNVrihjWkXTZN2u1RTUR9bjC4VCoVBoRZ3YJWMvuzu1QPOxdowb+CkFz2um5x8KhUKhUCgU2jRajaz7gUKho6+gPrIe31bVNFm3a7S67yjTYprdp0n328WD+qh0POEVeHh4eHhlKF+aNMSJsr04Sda07OtwgwpM0u8oY+LPNwMPDw8Pr8DDw8M3mx+KtbunlM2HV+Dhm9GD+qh0PNvFp0n3R8q77yizM2f2mYzmo7H60e6Xk+w3++PP3gf10DzPn/porB79pI/G6tFP+misHv2kj8bq0U/6aKwe/aSPxupj/Qld7teIKlDtZAwYPQ4Gz81A5ecufUWZFa+TPhqrRz/po7F69JM+GqtHP+mjsXr0kz4aq0c/6aOxevSTPhqrRz/po7F69JM+Gqtvnn41bI7NV988j199NFaPftJHY/XoJ300Vt+6fVAfyePZvM+v+tr7SUbv8YX/FKRqn8mYPKMW6Wj3y0n2m/3xZ++Demie5w99n6KPvoK+T9Fvlj51hiM/fDIGNC+Hhnh+uir9dzBy/32h71P00VfQ9yn66Cvo+xT9Y6VfjWrbo+9T9NFXRroP6iPr8W3VfpLRe3z4jrImVVAfWY8vFAqFQqFDKWhPsj7/UCgUCoVCodDm0Gpk3Q8UCh19BfWR9fi2qqbJul2jNc/n0PismZ1L03HcN1c/wt/Xcdy3Zh/Uhx2/ascXffTVo48++uj7+6A9yfr8o48++uijj7569NFHf7T7fb27xFei2vboo68e/Wbog1pJHr/oeFq1Rz9Nul9t+0b18/ypjHzWTNd6Bi3pm6sf4e/rOO5bsw/qw45fteOLPvrq0UcfffT9fdCeZH3+0UcfffTRR189+uijP9r9alTbHn301aPfDH1QK8njFx1Pq/bop0n3q23fqH7qO8qaX9Nk3a7VFNRH1uMLhUKhUOhQCtqTrM8/FAqFQqFQKLQ5tBpZ9wOFQkdfQX1kPb6tqmmybtdoxXeUNamC+sh6fKFQKBQKHUpBe5L1+YdCoVAoFAqFNodWI+t+oFDo6Cuoj6zHt1U1TdbtGq3yHWVMq2hEtvmtqqA+sh5fKBQKhUKHUtCeZH3+oVAoFAqFQqHNodXIuh8oFDr6Cmol23FtdU2TdbtGq3xHGdMqGpFtfqsqqI+sxxcKhUKh0KEUtCdZn38oFAqFQqFQaHNoNbLuBwqFjr6CWsl2XFtd02TdrtFadkUZj3Tt19HvG5X6/rzV+qBesh1f9NH3Kfro6xp9nx5rfdCeZH3+0Uc/ruijr2v0fYo++rpG36foN6ZfjWrbo4++T9EfnT6olUrH0Z+3ar8c/3aVtm9Uv+yKMh7p2q+j3zcq9f15q/VBvWQ7vuij71P00dc1+j491vqgPcn6/KOPflzRR1/X6PsUffR1jb5P0W9MvxrVtkcffZ+iPzp9UCuVjqM/b9V+Of7tKm3fqL67oozXraBxssxvXQX1UH4coVAoFAqtXUF7kn6eoVAoFAqFQqHNrtWotB0UCm02BbWT5bi2uqZJ90dO3RVlvG4FjZNlfusqqIfy4wiFQqFQaO0K2pP08wyFQqFQKBQKbXatRqXtoFBosymonSzHtdU1Tbo/cprns2VRMc3ulVLFfrt4UB+Vjie8Ag8PDw+vVPOg/Rjq+YaHh4eHV+Dh4eGbzVcjPR9egYdvNg9qZ6jj2U4+Tbo/Mj7Pp5yiYprdK7mK/XbxoD4qHU94BR4eHh5eqeZB+zHU8w0PDw8Pr8DDw8M3m6/Mmt1TgnV6PrwCD99sHtTOUMeznXyadH9kPL6jrEkV1EP5cYRCoVAotHYF7Yr/+YZCoVAoFAqFNqsOTfl8KBTarApqJ8txbXVNk+6PnOI7yppUQT2UH0coFAqFQmtX0K74n28oFAqFQqFQaLPqgt5dgVaifD4UCm1WBbWT5bi2uqZJ90dOU99R1uwVod9R1s4Fasd3HFEoFAqFqrVA++J7vlEoFAqFQqFQzVtD4ZuPQqGas0Dt+I5ju1Ua35yRqXywDuCzZq2gEfzws2/XqgpqI+txhUKhUCh0KAXtTdb/DqBQKBQKhUKhzaGVyLo9FAodfQX1kfX4tqqmybpd49WdKNNPYrTTT83r01Sb37oe1EPl4wmvqsDDqyrw8KoKvI1Ae5Lt+YdX4OFVFXh4VQUeXlWBh1dVGu+HpvH3B6+qwMOrKkfrQX1kPb6t6tNUmz98PryiTM+dRWfQmtOnqTa/dT2oh8rHE15VgYdXVeDhVRV4G7Ujz3rWGHr/+6fQl740g37609n0+98fR1u2HE8PPzyP/vd/Z9HNN0+nt751Mp10Upfbov3I9vzDK/Dwqgo8vKoCD6+qwMOrKo33Q9P4+4NXVeDhVZWj9aA+sh7fVvVpqs0fPh9eUdYamibrdq2qoDayHlcoFAqFQofS9uH883voc5+bThs2zKd77plD//RPvfSyl02giy8eS4sXd9GsWR20ZEk3veAF4+hVr5pIn/jEVHriiePooYfm0Q03TKHp0zvcntqJrP8dQKFQKBQKhUKbQyuRdXsoFDr6Cuoj6/FtVU2TdbvGqztRZtgZNKPZfJpG77/ZPKiNRh9/+CTwSeCTwCeBT9JqvvU5+eQu+uIXZ9CvfjWXXvvaiTRvXqfrZOOchQ/SuX9CtHbtfLrmml7qaKvzZY3+7wU+CXwS+CTwSeCTwCeBTwKf5Fjz1Wj0/cEngU8Cn6RWD2qj0ce/2XyaRu8/u0+dKLMzaEaz+Qj9ERq9/2bzoDYaffzhk8AngU8CnwQ+Sav51oZPbD3++HF01VUTXKKUikXa/cMf0oZrr6UnX/c6euKyy+j3F1xAK668kta++c208QMfoP3336+T9z9JDz95mMaNy8mVZWvWzKe//Mtx2mt5Gv3fC3wS+CTwSeCTwCeBTwKfBD7Jsear0ej7g08CnwQ+Sa0e1Eajj3+z+TSN3n9237JXlOmP0Oj9N5sHtdHo4w+fBD4JfBL4JPBJWs23LnwVGZ/YirPvnnto5ctfTg/Pm0erAt16002067//mw7cey8dWb6c9t15J+34+tfpqU98gh7/8z+nR888k9be8BUq7Nri9kB03HGd9P3vz6K3vnWSS1qZRv/3Ap8EPgl8Evgk8Engk8AngU9yrPlqNPr+4JPAJ4FPUqsHtdHo499sPk2j95/d44qyBM3mQW00+vjDJ4FPAp8EPgl8klbzrce0aXm6++45iavIDj32GK1+1avoiUsuoX233075Uok6x4yhzp4e1XgFWYfTwtattONbv6Cn3nuxXGVW6u93eyT6xCem0ac/Pc25VqXR/73AJ4FPAp8EPgl8Evgk8EngkxxrvhqNvj/4JPBJ4JPU6kFtNPr4N5tP0+j9Z/epE2WtQ/pHAgAAAAA4Vrntthn07GePcY5oxze/Sb+/8ELa/b3vUUd3N+WD6uCTYTxmrVZdnZTL5eUqsz8873l0aPlyt2eiN75xkny8IwAAAAAAAKPJ2t3JT1IAAAAA6iV2oqz+s20KfJKj9eDoaPTzAZ8EPgl8Evgk8ElazTc/n/nMNHrBC6LvD9v04Q/Tmte9jvL5fHjiS64YY01fQSbVST/etorOXL2azlyzhs5ev56WPLWL/m3vdlq6YwedftddNG7xYsrlnkVf3aD3wR/v+Nd/nfwOtNag0f99wCeBTwKfBD4JfBL4JPBJ4JMca74ajb4/+CTwSeCT1OrB0dHo5wM+TuxEWSn1CY3N55M0fv/N5UGtNPb4w8PHgYePA9/uvpX4u7+bSG94Q/S9YVv+7d/kRFm+q0uqg9WuKItpeOWYjMfTpSeeS08sWUKPn3km/eG00+j3J8yhN8/qo0cXLKCH586lB2fMoAemPU6XbHnA3RPRl740g04+ucu5VqHx/73Ax4GHjwMPHwcePg48fJzKfkHvLjcaisbdnwIPHwe+sR7USmOPP/xQPvHRi409B9d4H4d/iEbvv9k8qI1GH3/4JPBJ4JPAJ4FP0mq+VcgHf4v7x3+MPgJx1//+L2183/vk5JicAHPVyZW+osyVfS+Z9c13dHdRrtPtx51wywV3yFeqDWzfLveXvv9WodH/vcAngU8CnwQ+CXwS+CTwSeCTHGu+Go2+P/gk8Engk9TqQW00+vjDJ4n7xImyViL9QwEAAAAAHEv80z/10vz5nTIuHj5Ma9/6Vsp3doZXk4XVHbuSzMZ2YsxV+L1l1u/soFxnMI7vJ9h3/9q1tO7d75b7ZF75ygn0rGdF340GAAAAAAAAAAAA0Grko1NOraJKKfP8VlVQH1mPLxQKhUKhQ2lz09ubT1zNtfljH6Pirl16oiwouwrMTo5JuZNhciWZ00Rx5uZ09HRRviO2H1d8wmz3//wP7b37bnfPfFXZZDdqBbI+/1AoFAqFQqHQ5tBqZN0PFAodfQX1kfX4tqoaWecPj+b1QwwZ+0zGclVGvx8n5+mbT6vSOn1QH+njmjye5Tn6qgr66PtVQR99vyrt128F/uqvxtGYMfqXuf4NG2jzv/4r5To6KJfrp7evXUunPfEEnfrYY3TSww/TCfetou8Xu+RKse07fkfH/eQnNO/HP6a5P/yh1qPbaEfQC6884xNiPePpjHHuirLOTt13rPjEnPGCF4yjGTM6nGt2qj//6Ksq6KPvVwV99P2qoI++XxX00ferks4rk2179NFXVdAf3T6oleTxq3Z8W7VvVOrbrOHtJ64o01G5KqPfT1L79q3SB/WRPq7J41meo6+qoI++XxX00fer0n79VuAv/3KcGxHt/N73KJ/PU76jg/LdE+lTp5xMP5w3UXp/tPAcWnvhmfTCiXpV2dy+Z9LWyy6mD8/i7lz6yF/8f7T92SfSXHdFmV19lh87jS6eOjb5UY485vsIav8999ChJ56Q+2Dij6e5qf78o6+qoI++XxX00fergj76flXQR9+vSjqvTLbt0UdfVUF/dPugVpLHr9rxbdW+Ualvs4a3n7iirDXUyDq/VRXUR9bjC4VCoVDoUNq85IK/w8VPTO25/fbgb3T56IqvfAedOG6C9P5o8sTw4xjthFfH2Ek0Vb5WbBYtmRF9L1lYdhWZlewz2L/dhxvv/tGP5D6Yv/zLsW7U7GR9/qFQKBQKhUKhzaHVyLofKBQ6+grqI+vxbVU1ss4fHnVXlLVKReh3lLVzgdrxHUcUCoVCoWqt5ua883po3Dh9nIM7dtC+u++WK8r45JVd8ZXvDP6KF8AntuwkmXzPWDd/V1k3n1cL6KSO+PeTcc9OprmTZdH+3JjvJ1C+rz0/+YncB/OsZ8mZtyYn/TyjUCgUCoVCoZq/quHbBoVCNV+B+vAdy3Yrw9cbuZIryvTTGJtf4+h3lA09v1VVC9RKpeMJhUKhUGgt2uzMmRN9H9iRdeuCvxQFf6mLl54FE3I5dyWYneCyk14ypSP6qMWuLsq5k2M8hyfYdjI5fR9BHV6xQu6DmTWrgzo7g7ypGfp5h0KhUCgUCoU2o1ZGu+n5UCi0GRXUR6Xj2V5qpPORVf6XD1lUGZ82Rz9JeT/yaW2tPqiP8uNqyiNfboo++uijbz6t6B+L/WZn7tzoRNnA5s2UywWP3U5s8Vi8/hwfeeD/aO4Pf0iz/vu/afrXv05TbruNJt38Fbp6FXf1irIO991kdpLMriIL95kudx+D27ZRqVCQ+2Hij6t5iZ5nHcV9WtFHH330zacVffTRR998WtFvfL8y6/ZMCdbVtkcffVP0R7MP6iM6jjyqfHxbu29U6rPyaHj7eT5jZsVrHatGvjn6SRq//+bqg1pJHr+jPf7oo6+KPvroH3v9Zmfu3E43IurfssWNYuT0r3rMu5/xPNr8V39F2664gna+7GW091WvogN/fxXdejJ3Oyjf0yMnyOQKMncCLNw+Po4Ty/hEnRG/0q15Ofr/PtBXRR999NFH37wq+qroo9/4fjWOdv/oo6+K/nD3QT1Ex08reTxrOf7N3Dfq3b4xfbmizErPoTWvT1J9fmt7UCu1HV94eHh4eHi/b3YOH7a/1BHlu7vdyOFOYskJL1ZXIYmTX8FfCkvBvoJKzGGCObatVWJb6/f0qA84ciR6XM2J/iTpnwweHh4eHh4eHr6ZfTWqbQ8PD98cHtRD9uPbyt6o1B8ZL1eU6bmz5tck5f12US1QK5WOJxQKhUKhtWizs3lz9HGHXXPmBA85eOTpKurPweOi+KJWoUDFwcEg426BCocPU2FgQLOgF85zVWQN9+ly56mzk7pmzJD7YeKPqznR55cXKBQKhUKhUGjz64LeHYFWo3w7KBTafArqo9LxbC810vnIauo7yppb4/DvPqf77aJaoFYqHU8oFAqFQmvRZmfTpkE3IurmE2UMn7hKV8DhQpHITnDxSTI+GTbIJ8S4G/gjR6jQ30/FgQHph+VOiKX3JzgvJ+kcAwMleuqpZj9RNvTzDoVCoVAoFAptRq1Gej4UCm1GBfVR6Xi2lxrpfGQ1H4wC9B8/9AxauTZLPw7/CLVu3yp986A2sh5f9NGPK/ro6xp9nx6r/WYnfuXW2NNOo/z48dHVXu5E14r9+6X/wN49dIivFrMaGKDC4b208zB3N9JDmw/IVWWD/f1ywsyuLivZFWZBsdo4PIkW1PglS+Q+mI0bm/0kGZPt+UcffQV9XaPvU/TR1zX6PkUffV03tl+Natujj76Cvq5Hqw/qIfvxbfW+UrnvzxvZdyfK+LSTnjvzabP009S6fav0zYPayHp80Uc/ruijr2v0fXqs9pudRx/tpzVroqvKJj/vecHf6YK/3PEJrIF99KbHHqM/X79HeveueIBO+Mky+s5+PVG2ZfXdNOUrP6B3buTuenrHt/6TJv30cdriripLnCSLnSwLT8QFxffD9zf5z/5M7oO5/fZDbtTMZHv+0UdfQV/X6PsUffR1jb5P0Udf143tV6Pa9uijr6Cv69Hqg3rIfnxbva9U7vvzRvZj31Fmo6Rvpn6adF9HSd+KfR6B2rHjp8ew8vGNe/ST3hbz6Ce9LebRT3pbzKOf9LaYRz/pbTE/mv1W4Ac/OOhGJCes5GqxQoGKNIY+edJJtPyMM2jFuefS6vPPpzXPOZUu6RiQK8amzjyXnrr8ctr64hfTtiuuoO1XXknbnj6HpvJ3lfHHMAaVvrosUXwfXMG49/nPd48g+Xial2zPv2rS22Ie/aS3xTz6SW+LefST3hbz6Ce9LebRT3pbzKOf9LaYRz/pbTGPftLbYn40+9XQedF8HSU9+klvi3n0k94W8+gnvS3ms/RBfdjxix9PW8y3fj8i6tayfdLbYj5rP/YdZTZK+mbqp0n3dZT0rdjnEagdO356DCsf37hHP+ltMY9+0ttiHv2kt8U8+klvi3n0k94W86PZbwXiJ6amXXkldff1RR+N6MpObsmVYXzSy101Jt9J5r6bzE6Oydj1rXg7qdR+uaa/8pXUOXWq3P/+/cUWOVGW7flXTXpbzKOf9LaYRz/pbTGPftLbYh79pLfFPPpJb4t59JPeFvPoJ70t5tFPelvMj2a/Gjovmq+jpEc/6W0xj37S22Ie/aS3xXyWPqgPO37x42mL+dbvR0TdWrZPelvMZ+3LRy8mz6A1r6bJul2rKY9A7WQ9vlAoFAqFDqWtAH/U4WOP9TtHNOftbw9PjBW4Yie87CRYeGKMv5OMrxwzjWc8difMZD6r7cvtn2vOO97h7pnollv0+9Can2zPPxQKhUKhUCi0ubQaWfcDhUJHT0F9ZD2+ra5G1vnDoXKiLHkGrXk1Dv8IWbdrNeURqJ2sxxcKhUKh0KG0VfjgB/V7yJjpL3sZjXva0+Qkll0JJie17CRX/GQZ15EjelWZVZCxl6vO3Jxw29hJMt4vn5TrOf54ud8jR0rB49gt4+Yn2/MPhUKhUCgUCm0urUbW/UCh0NFTUB9Zj2+rq5F1/nBonk84xc+cNbOPwz9Cut8unkegdiodT3h4eHh4+Fp8q/DVr+6nO+887BzRos99jjqmTUueEAtKrhTjMZ8Q4yvHUhVmPM+pnTxL1MAATXrBC2je//t/7h75ZN1u2ry54Fyzk+35h4eHh4eHh4eHby5fjfR8eHj45vOgPiodz3bycXz9kfJ5PuEUP3PWzD5Nut8unkegdiodT3h4eHh4+Fp8K3HDDdHVXD19fbTwc59LXEkWfmxi7IRXeNWYnRCLl/V4W5vL2wf7HHv66bToC19w90a0bFl/C11NxmR7/uHh4eHh4eHh4ZvLVyM9Hx4evvk8qI9Kx7OdfBxff6S8+44ypdk1TdbtWk1BfWQ9vlAoFAqFDqWtxM9+dohe97rtzhFNuuACOulb36L8lCl6Yix1Iix+JVl4BVlQiTk25u1dTXjOc3S/Y8bI/ezdW6RXvGIbDQ6KbSmy/ncAhUKhUCgUCm0OrUbW/UCh0NFTUB9Zj2+rq5F1/nCo+44ypdk1TdbtWk1BfWQ9vlAoFAqFDqWtxuc/v4/+5V+i7yubfPHFdOqPf0zjli7Vq8rshFf85JedDPNU+rvKpl99NZ387W9T14wZ7h6IXv7ybfTb3/Y711pk/e8ACoVCoVAoFNocWom1u6eKZt0PFAodPQX1kfX4troaWecPh7rvKGuNiuPrt0uB+vAdSxQKhUKhaqlW5R/+YSd97GPRybKehQvlZNlxH/kIdcyaFV5B5vuOskQFc+xKs3Hnn08nfec7tOBjH3N7DY5RcJD4JNn3vnfQJa1F+vlGoVAoFAqFQjV3DYVvPgqFas4CteM7ju1Yhq83kuW+o6w1Ko1vTjsUqA/fsUShUCgUqpZqZd71rp30+tdHH8PIzPzbv6WzHn2Ujv/oR2nSc59LhcHB8qvI7AqzQPO9vTT1JS+hRbfeSqd873s06cIL3Z6IVqwYoD/6o0305S/vd0nr4XvOUSgUCoVCoVDNWX29u4J1ZXzboFCo5ixQO77j2I5l+HojWWXfUWbF+HQ0+3H4wfvmWTGt2gf1YccvfjzTij766Cvolyv66JtvZf793/fRn/7pFvrNb464RJnxt39LJ37963TO+vV00n//Ny246Saa87730cw3vpHmvf/9tPA//oNO+eEP6ezly6nvM5+hKX/1V25L5Stf2U/PetZm+vWvk/ttRao9/+iXK/roo6+gX67oo4++gn65NrJfCd92plYM+uWKPvoj3Qf1kT6Odmx9uWkr9o1K/bgOVz/Pp5z4pJMpr+O+mfppfPN47ctbqQ/qw46f77iaoo8++pFHH330I433W52f/vQQnX/+Jrr66m30xBMDLlXyY8fSpOc8h6ZdeSXNefOb6bhrr6VZr3sdTbn0UprwjGe4WRE/+tFBes5zNtPLXraNtm0ruLSVqf78o1+u6KOPfuTRRx/9SNFHf2T6lcm2Pfrolyv6I98H9VB+HFl57ctbtx/h7yd1uPr5EvHCZ82aX+No5p/X6grqo9pxhUKhUCi0mvKoXbjllv10yikb6Iortso464muxx7rp498ZA9dcMFmesELnqJf/OKw67Q+6ecbCoVCoVAoFNrcOhRZtodCoc2hoHZ8x7Ed1dCs8rzh1rydQWsFjaOZf16rK6iPascVCoVCodBqyqN241vfOiBXl82cuU5Ofr385dvo3e/eSZ/85B669db99C//spve/OYdckLtzDM30hlnbKT3vGcn3X13+5wgM9LPNxQKhUKhUCi0uXUosmwPhUKbQ0Ht+I5jO6qhWeV5w63hFWV67iw6g9aMPk21+a3qQX1UOp7w8PDw8PC1+HaGT359+cv76aMf3UNve9tOuuqqbfQP/7CLPv3pvXJC7Xe/63cz25Xy5xseHh4eHh4eHr6ZfWWybQ8PD98MHtRD5ePZTj5OlvnD5d0VZXbuzM6gNaePww++2vxW9aA+Kh1PeHh4eHj4WjxoZ8qfb3h4eHh4eHh4+Gb1Q6P9+Pz09vDw8M3iQT1Exy9+JNvNx8kyf7i8u6LMFjuDZktz+TRHu79m9aA+6j3e0QIfd/DwcQcPH3ft7HkE2pf0860LfNzBw8cdPHzcwcPHHTx83A2fH5r4PFVb4OMOHj7uRsuD2okfv2hpP29or/bt4+5oPL6jrAkV1Ee14wqFQqFQaDXlEWhf0s83FAqFQqFQKLS5dSiybA+FQptDQe34jmM7qqFZ5XnDreF3lLWCxtHMP6/VFdRHteMKhUKhUGg15RFoX9LPNxQKhUKhUCi0uXUosmwPhUKbQ0Ht+I5jO6qhWeV5w63hd5S1whInOtvXfguoj/gxxIIFCxYsWOpZ9G8YoF2JP9dYsGDBggULFixYmn0Zmnb+t0EsWNptAbUTP37tvBij/Zqe+o6y5l7iRGf72m8B9RE/hliwYMGCBUs9i/4NA7Qr8ecaCxYsWLBgwYIFS7MvQ9PO/zaIBUu7LaB24sevnRdjtF/TE1eUVTtnN/r9JPEeL6P/+OKufMnaB/ViR9K/oB935Qv6cVe+oB935Qv6cVe+oB935Usz9XkM2pfomY6WRv7341vQj7vyBf24K1/Qj7vyBf24K1/Qj7vyBf24K1/Qj7vyBf24K18a1x+aSntq3P37F/TjrnxBP+7Kl2O1D2onfvxsGa3nz5bh6Bs6infKl+Hs56MzdYydP1Of1tHvJynv68h8WlulD+pFj58dxbSiryPzaUVfR+bTir6OzKcVfR2ZTyv6OjKf1mbqg/am2vOPPvppRV9H5tOKvo7MpxV9HZlPK/o6Mp9W9HVkPq3o68h8WtunPzS6zVDbq08r+joyn1b0dWQ+rejryHxaK/VB7dRyfE1bsW9U6sd1OPv56Dxa+nxaOh/9fhxfX9WW1u2D+rDjp0vl46sL+n61BX2/2oK+X21B36+2oO9XW0a3D9qbas8/+uj71Rb0/WoL+n61BX2/2oK+X21B36+2oO9XW1q5PzQ6d6jteUHfr7ag71db0PerLdn7oHZqOb5JtaU1+kalfrna0tg+vqOsCRdQH/FjiAULFixYsNSz6N8wQLsSf66xYMGCBQsWLFiwNPsyNO38b4NYsLTbAmonfvzaeTFG+zVdvqOs0rm15tMIdel+uyioj/RxhEKhUCi0NtUC7Uql5x0KhUKhUCgU2oxaHf92UCi0+RTUiv84tp8aOirvj5TKd5TpubpW0Ihs81tVQX1kPb5QKBQKhfoVtDfVnn8oFAqFQqFQaDPp0KzdPaXCdlAotPkU1Eq249r6alSbN9zq+Y6y5tU06X67KKiP9HGEQqFQKLRWBe1NtecfCoVCoVAoFNpMOjTl86FQaLMqqJ0sx7Ud1Kg2b7hVrijj82atoGnS/XZRUB/p4wiFQqFQaK0K2ptqzz8UCoVCoVAotJl0aMrnQ6HQZlVQO1mOazuoUW3ecKtcUabnzFpBI7LNb1UF9ZH1+EKhUCgU6lfQ3lR7/qFQKBQKhUKhzaTVyLofKBQ6+gpqJdtxbX01qs0bbnXfUcZnzVpDjazzW1VBfWQ9vlAoFAqF+hS0N1n/O4BCoVAoFAqFNodWI+t+oFDo6CuojazHtdXVyDp/uNR9R5kWE/fpYny5FePLrRhfbsX4cqs4lfq+3Irx5VaML7difLkV48utGF9uxZiC+kgf03gxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyKCccl+ytSBbqLbgCakqGen2Ip8byHz7nTSsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWjC+3Yny5FePLrRhfbsX4civGl1sxvtyK8eVWTHxcifg28WJ8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrxpdbMb7civHlVowvt2J8uRXjy60YX27F+HIrplIOaqPScfTlVowvt2J8uRXjy60YX27F+HIrxpcxlfrxYny5FePLrRhfzuW+o8zOnNlnMlolvSaRH/l+hL9fbfvW6IN6yXZ8o0I/7jWJPProx70mkUcf/bjXJPKt3Kd9g7yuzKSCG4Cmo6dINGaIE2XBc6vPc+XnXwv9uNck8uijH/eaRB599ONek8ijj37caxJ59NGPe01sXJlom8rba6Ef95pEHn30416TyP//7b0JvCRVef7/dt/ZWQeGYdj3HRUQEIwri0ZcYxTQJO4alyiE/ExMXOKWaIJRcF/QiP6FuJGIiiDILgw7su8zwzALM8Mw+3aX/p9z3nP6VFVX31vd0/fe6r7f7+XUc573OVXdU1V39NNnTlencmid5PkLTSvR90IeaJYnvVai72Tun1Gms2Z2W26fpdPHL4+Hdujc+cfrFq/gdYtX8LrtWT9k/u/RcJNl240wkQbjx3bDT2JW1vQ3Xm+/xSt43eIVvG7xCl63eAWvW7wy2n4kRtofr1u8gtfteHlojZHOZ6/4QLN8rHzXPqMsUHS/blNoj6LnF0VRFEWbaWVtv5o8ZpnMrlyC8jFns+80wVzXItcfRVEURVEULY+ORNHjoCg6/gqtUfS8drsGio4fLU2sKAtzaEpZfaBTxyurh/Yoen7xeFUFj1dV8HhZtcW7JhyywXegVBw6wnVZbVeUFbj+ThU8XlXB41UVPF5VweNVFXxn/Uh0+vXweFUF31kPrRHPY9D0+ewVH4j1oPnjR8snVpRpr+w+0KnjldVDexQ9v3i8qoLHqyp4fGXeeu+aMNKEDIwPI0xgVuavz73eqgoer6rg8aoKHq+q4PGqCn50/Uh0+vXweFUF31kPrRHPY9D0+ewVH4j1oPnjR8uzosxty+ehPYqeXzxeVcHjVRU8vvLwGu+acNRakZ2H+XpGGHuON9dsm+bPKKss3SSVZablXG9VBY9XVfB4VQWPV1XweFUFP7p+JDr9eni8qoLvrIfWiOcxaPp89ooPxHrQ/PGj5VlR5rbl89AeRc8vHq+q4PGqCh5fWbFZKos3+koTXv6s70ApeNnw16PykE5+duL+UFXweFUFj1dV8HhVBY9XVfCt+ZHo9Ovh8aoKvrMeWiOex6Dp89krPhDrQfPHj5avxpmz7tBIsfHdqtAeRc8viqIoig6rfmKlKcesFTmIr2AsBaesFNlxwJt8qn6VYOHrj6IoiqIoipZCR6LocVAUHX+F1ghnrej57VYNBFd0v05rNc6cdYdGio3vVoX2KHp+URRFUXQ4rd7+jDXDc/oyvoJxvLETlieNsJrs8XUiC/S5c0WvP4qiKIqiKFoOHYmix0FRdPwVWiOctaLnt1s1EFzR/TqtVTtnZgkzZ+X3SueOV04P7VLs/OLxCl63eAWvW7xj1YBUr31a+82wz8Syk2XDPBsLRpEDN4q8yZz/EdDrOML1xvstXsHrFq/gdYtX8LrFK3jdjq4fiU6/Hh6v4HXbWQ+tEc9a/vnsHa9EN9L40fFVO2dmCTNn5fdK545XTg/tUuz84vEKXrd4Ba9bvFKT6rXLRNYP/5V+stcmkb9dpApjx/FrRN612JvmVO5dpSvKcq6vbvEKXrd4Ba9bvILXLV7B6xavjI0fiU6/Hh6v4HXbWQ+tEc9a/vnsHa9EN9L40fH+GWV22w2apMj47lVoh8bziKIoiqJta39N+uxk2UjM6tfJsheu9gUYNbYbFHntCpE3LPeF4dHrl7muKIqiKIqiaNfo8DSOR1G0vAqtoWes8Tz2lkbUZfOxU/+MMrvtBk1SZHz3KrRD43lEURRF0a3Ryh+XS+Wu4Z+B5aia9poVImcvFDlqrcgkuz90jB0HRE421+EfF4icWGxCsvqrp0SWbDS9xuuKoiiKoiiKdocOT+N4FEXLq9AaesYaz2NvaURdNh87rUyS/7I9N2/mOk0Y77yvWpFNg3/vncjus78ly5fbDz+Usr//VvKdjtlNjvvma7yDolxxwvd8r5EyXd88yMnJm0NOXoZ88G8PkNo+27haIYZMe9iMf3y6yJo+kbWTVGFk7CTj9oMi2w2IzDTtkA0ie7f21ZbVG5ZL9XdLSnP/NIOcnLw55OTkzSEnnyj52466Tb7/+v/xrpFTLvygXDf/AO+UMr3/PMjJJ2puP+u2n3lDcR674A55/II7vSv39bW0k59+5iHyk4tf7frXXbNQTjnp566fx6i/v0nyJZ9nh5bLV6tV2dwwUbbBO0tnX288vU6Uvdb1oThXnPBd37N07nooeDw+gsdPPF/baYoM/u2BIttN1jKUlsr9q6XvJ/ODM63z90MEj8dH8Hh8BI/HR9r3OlH2U9fP45QLPyDXzTf/H71Dr6fg8fhI57xOlO3u+lAMnSi7wztL566HMv4+OVF27TUL5dSTfub6Sudfbzhf1YJtltAvq8+SzXvNQ2tkzx8ej8fjFfzW+srKfum7cL5UlrW2sgnGlsrdq6TvJwtszzdL4/XE4/F4BY/H4/FK2X0zmo3H4/Hl9dAa2fPXaz5LNh87b5+oYQgzZ1ZDs+TpeOZZ8saFZun2HFoje/7ylJycXCFvVHLy4fPK4g3S9+3HpfLQGi1Dqahe/bT0/exJ08u/fvn1oOTk5Ap5o5KTkyvkjUo+dnk+++z4jO+NtD95o5KTj1cOrZF3HkOzdHueJZvn6ejkfqKs4ufQ4gxa9KrlyLNkc7vVFr1qt+XQDvH86RkM57H1808evCq5Kjk5OXll06D0/Wi+VP+4wiVQArYMSfUXC6V61dOJ66XacP3qXpVclZycnJw8eFVyVXLyscz32XFlysc2HOnjX/X2b8nbj7rNe23JPO3JycnHOofWyJ6/6LX1Rp4lm4dR7R6/eF4NM2g6dxZm08rqs2Tz3vHQDvH86RnE4/F4PH50fPW3i6TvO49J5eG1rgLjQ/WmFTLpSw9K9U77wUrnri8ej8fj8Xg8fuz8p152hTx21r/J2466tSEfnng8u+9L931cLnj9/8ij5lgv3fexVB4aHo8fPw+tkT1/vemzZP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is a medication that is used to suppress the immune system. It works by interrupting cytokine pathways type 1 and type 2. It is administered orally, through tablet, or solution (concentrated or non-concentrated). Prednisone is a glucocorticoid, and as well as being used for immune system suppression, it is used for its anti inflammatory properties. It exerts these properties by binding to glucocorticoid receptors in the cell, which inhibits inflammatory cells. This prevents inflammatory mediators from being expressed.","metadata":{}},{"cell_type":"code","source":"# targets data - coming soon","metadata":{},"execution_count":null,"outputs":[]}]}